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At Vibecode, we want to bring the power of AI to the next 100 million people. If you get deeply excited about being able to take the most wonderful technology of our generation and spread it to the masses through inspiration and education, then Vibecode is the place for you. Since the advent of AI-assisted coding, there is no hard technical requirements anymore, but here are some interesting things we are working on:Researching the hot new thing and running deep evals on itHaving early access to new agents, models, and runtimes and being able to finetune our system to themInspiring and educating the next generation to use AI via high-quality long form content on YouTube, X, Instagram and LinkedInBuilding multiple projects with a combination of AI tools that are unique and excitingHaving good taste and making things look good effortlesslyYou will be a good fit if you meet all of these criteria:Deeply curious -- you are fascinated by the world of technology and often find yourself tinkering late into the night or early into the morningHard worker -- working long hours comes naturally for you and you gain pleasure from working in an intense team that pushes you to your limitsLow ego / humble -- no problem is too small, and you are always open to other's ideas

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products.What You'll DoCollaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment.Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations.Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences.Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers.Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services.Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end.Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership.Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows.Participate in code reviews, technical design discussions, and an on-call rotation for the services you own.What You Have5+ years of backend engineering experience building and operating production web applications or SaaS products.Track record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask).Hands-on experience with relational databases (e.g., Postgres)Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.Experience building for Cloud Infrastructure such as Azure, AWS, or GCP.Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.Additional InformationWork eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the TeamOpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design.About the RoleWe are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.Key ResponsibilitiesDevelop and maintain performance modeling tools and frameworks.Build models to evaluate system behavior across:compute, memory, and interconnect subsystemsdistributed system scaling and bottlenecks.Run simulations and analytical models to support architectural tradeoff analysis.Collaborate with performance modeling lead and system architects to answer forward-looking design questions.Analyze and interpret modeling outputs, translating results into actionable insights.Validate models against real system measurements and workload behavior.Contribute to improving modeling fidelity, usability, and scalability.QualificationsStrong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).Familiarity with system architecture fundamentals (compute, memory, networking).Experience with programming and building technical tools or frameworks.Ability to reason about performance bottlenecks and scaling behavior.Strong analytical skills and comfort working with quantitative models.Ability to collaborate across teams and learn new system domains quickly.Preferred SkillsExposure to AI/ML workloads or distributed systems.Experience with simulation tools, performance modeling, or systems analysis.Familiarity with data center infrastructure or large-scale systems.Experience working with performance data, benchmarking, or profiling tools.Interest in system architecture and hardware/software co-design.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale.Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads.About the RoleWe are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure.In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads.This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.Key ResponsibilitiesEngage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs.Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware.Translate vendor specifications into expected real-world performance for AI workloads.Evaluate architectural aspects including:compute throughput and utilizationmemory systems (HBM, cache hierarchies, bandwidth constraints)data types and precision tradeoffs (FP16, BF16, FP8, etc.)interconnect and scaling behavior.Run benchmarks and profiling to validate hardware performance against workload requirements.Lead early bring-up and evaluation of engineering sample (ES) silicon.Partner with performance modeling and system architecture teams to align measured vs. modeled behavior.Provide actionable feedback to vendors to influence future silicon design and roadmap decisions.QualificationsHave deep expertise in GPU or accelerator architecture, including performance and power tradeoffs.Understand AI workload behavior and how it interacts with hardware design choices.Are comfortable engaging directly with silicon vendors at a technical architecture level.Have hands-on experience with benchmarking, profiling, and performance analysis.Can translate low-level hardware details into system-level and workload-level impact.Are equally comfortable in theory (architecture) and practice (measurement/validation).Thrive in environments where you bridge internal teams and external partners.Preferred SkillsExperience working with or at companies like (e.g NVIDIA & AMD) or similar silicon providers.Familiarity with AI accelerator stacks, including GPUs, custom ASICs, or emerging architectures.Experience with early silicon bring-up or hardware validation workflows.Strong understanding of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks.Experience with performance tooling, microbenchmarks, and workload characterization.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments.Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads.About the RoleWe are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems.You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.Key ResponsibilitiesBuild and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.Develop performance models to guide decisions on:scale-up vs. scale-out architecturesinterconnect and network designmemory hierarchy and system balance.Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.Influence reference designs and vendor roadmaps through data-driven insights.Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.Continuously improve modeling fidelity by validating against real system behavior and measurements.QualificationsHave experience owning or building performance modeling frameworks used to drive real system design decisions.Have deep knowledge of AI/ML workloads, including training and/or inference at scale.Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.Are comfortable working across abstraction layers—from workload behavior to hardware implementation.Have experience using modeling (analytical or simulation) to inform architectural decisions.Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.Communicate clearly and influence both internal teams and external partners.Preferred SkillsExperience working with hardware vendors (ODM/JDM, silicon, networking).Background in data center infrastructure or hyperscale systems.Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).Experience influencing hardware roadmaps or reference architectures.Prior experience leading or mentoring engineers.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design.About the RoleWe are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure.This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.Key ResponsibilitiesSupport the development and maintenance of performance modeling tools and frameworksAssist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystemsHelp analyze distributed system scaling behavior and identify performance bottlenecksRun simulations and analytical models to support architecture and infrastructure decisionsPartner with senior engineers to evaluate design tradeoffs across hardware and system componentsInterpret modeling outputs and help translate findings into clear recommendationsValidate models using benchmarking data and real system performance measurementsImprove modeling workflows, documentation, and usability for broader team adoptionCollaborate cross-functionally with hardware, infrastructure, and architecture teamsContinuously build technical depth across AI infrastructure, system architecture, and performance analysisQualifications1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical workStrong programming skills and experience building technical tools, scripts, or frameworksFamiliarity with system architecture fundamentals such as compute, memory, and networkingAbility to reason about system performance, bottlenecks, and scaling behaviorStrong analytical and problem-solving skills with comfort working in quantitative environmentsAbility to learn quickly and work effectively across technical teamsPreferred SkillsExposure to AI/ML workloads, distributed systems, or large-scale infrastructureExperience with simulation tools, benchmarking, profiling, or performance analysisFamiliarity with data center systems, server architecture, or hardware platformsInterest in system architecture and hardware/software co-designInternship or early professional experience in performance engineering, infrastructure, or systems designAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure.Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies.About the RoleWe are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs.You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.Key ResponsibilitiesDefine rack- and cluster-level reference architectures for AI infrastructure deployments.Translate workload requirements into clear system design specifications and partner deliverables.Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.Influence and shape vendor roadmaps to meet future infrastructure needs.Track emerging technologies and evaluate their applicability to AI systems.Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.Act as a key interface between OpenAI and external partners, ensuring execution against design intent.QualificationsHave strong experience in system architecture for large-scale infrastructure or data center environments.Understand AI workload characteristics and how they map to system-level design decisions.Are comfortable working with performance modeling outputs to inform architectural direction.Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).Can drive alignment across multiple stakeholders with competing constraints.Have a track record of turning ambiguous requirements into clear, executable system designs.Are proactive in identifying gaps and driving solutions across organizational boundaries.Preferred SkillsExperience defining rack- or cluster-level systems for hyperscale or AI workloads.Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.Experience influencing vendor roadmaps and reference designs.Background in infrastructure deployment, hardware engineering, or systems integration.Experience leading PoCs or early-stage hardware validation efforts.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the CompanyModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe're looking for a Research Scientist to investigate how intervening on training data can improve the quality and shape the behavior of deep learning models. You'll source and implement ideas from the literature, conduct research grounded in real customer needs, and collaborate closely with engineers and product teams to turn findings into tangible impact. This role requires strong scientific judgment, fluency with the deep learning literature, and the drive to work autonomously in a fast-moving startup environment.What You'll Work OnThe research literature is vast, rife with ambiguity, and constantly evolving. You'll source, vet, implement, and improve promising ideas from the literature and your own thinking.Our research is guided by concrete customer needs and product outcomes, not conference benchmarks. You'll have clear context on why your work matters and who it serves.How You'll Work We believe researchers do their best work with autonomy. You'll have the freedom to pursue problems in the way that works best for you, with the resources and context to back it up.We expect Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.About You3+ years of deep learning research experienceStrong fundamentals in deep learningPractical experience and/or publications in one or more of the following areas:Data pruning and curationCurriculum learningSynthetic data generationDataset distillationEffects of training data on model behaviorEmbedding models and semantic searchTraining large vision (including video), language, or multimodal modelsEfficient MLEnough software engineering and PyTorch experience (or willingness to learn) to run large-scale experiments and build production prototypesA demonstrated track record in deep learning research, whether through papers, tools, or other artifactsNice to have:Experience with distributed data processing tools like Spark or SnowflakeExperience building and shipping ML productsCandidates do not need a PhD or extensive publications. Some of the best researchers we've worked with have no formal training in machine learning, and obtained all of their experience working in industry and building products. We believe adaptability, combined with exceptional communication and collaboration skills, are the most important ingredients for successful research in a startup environment.CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $180,000 to $300,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

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About MercorMercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.About the RoleAs a Software Engineer on Applied AI, you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.What You’ll DoPartner closely with frontier AI labs to understand their data, post-training, and evaluation needsBuild and operate scalable data pipelines for post-training workflows and model evaluationsDesign and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutionsPrototype new data types, benchmarks, and evaluation frameworksLead technical discussions with customersWhat Makes This Role DifferentDirect frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.Day-to-DayFast-moving, high-ownership environmentTechnically demanding, collaborative work“Building the plane while flying it”In-person culture (SF, 181 Fremont)Aligned with frontier research timelinesWhat We’re Looking ForStrong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)Experience with model training and inferenceStrong grounding in statistical analysis and experimental design for measuring model performance and improvementsFamiliarity with evaluation methods for large language modelsComfort working through ambiguity and shipping iterativelyYou’re likely someone who:Enjoys ownership and customer-facing problem solvingThinks entrepreneurially and moves quicklyBalances speed with engineering rigorCommunicates clearly with technical and non-technical usersWhy Engineers JoinDirect exposure to frontier AI researchReal ownership and visible impactTechnical depth paired with human interactionFast feedback loops and high leverageThere are very few roles that combine this level of technical rigor, customer proximity, and research exposure.BenefitsBi-annual performance bonus structureGenerous equity grant vested over 4 yearsUp to $15k Relocation bonus$10K housing bonus (if you live within 0.5 miles of our office)$1.5K monthly stipend for mealsFree Equinox membership$200 monthly laundry reimbursement$200 monthly personal wellness reimbursementHealth, Dental, Vision insurance

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersProficiency in Thai is preferred to support interactions with Thai-speaking clients.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Perception for Contact Rich Manipulation you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments.   In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities.   This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site. What you'll do: Deploy with customers on site globally (~50% travel) to support software integration and development activities.   Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.   Provide technical support and training to customers on use of Hivemind.   Develop AI & Autonomy applications using the Shield AI enterprise software development kit.  Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions  Assist in post-sales deployment and integration of Shield AI enterprise software products.   Develop and maintain technical documentation and training materials.   Help customers debug software/API integration issues.   Collaborate with the product engineering team to address customer feedback and improve products.   Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience, OR   Master’s degree in Engineering, Computer Science, or a related field, and 3+ years of industry experience.  Strong technical background in software engineering.   Strong proficiency in writing modern C++ code.   Excellent problem-solving and analytical skills.   Strong communication and interpersonal skills.   Preferred qualifications: Experience in the defense, aviation, or robotics industry.   Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer.  Experience operating in a fast-paced, startup-like, environment.  Advanced technical degree, especially in robotics or autonomy related fields  #LI-FB1 #LC Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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About MercorMercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.About the RoleThis is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI — building the systems and infrastructure that power how our finance and corporate operations team runs.You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems.The ideal candidate has deep finance domain knowledge — you understand how the books actually close, how procurement flows, how revenue is recognized — and the technical fluency to translate that understanding into durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.What You'll DoFinance Data & SystemsFacilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&APartner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholdersPartner with Finance leads across accounting, strategic finance, and operations to translate business requirements into technical architectureBuild and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metricsAI & AutomationOwn the Agentic Finance roadmap – prioritizing use cases and driving features from ideation to deploymentIdentify high-value automation opportunities across Finance and corporate operations — month-end close tasks, reconciliations, procurement workflows, variance analysis — and ship solutions that eliminate manual workBuild intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scaleStay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problemsGovernance, Quality & ScaleEnforce data integrity standards and testing practices across all financial data products — ensuring auditability and reliability for a maturing Finance functionEnsure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflowsChampion a culture of data quality and documentation so that Finance teams trust and rely on the systems you buildWhat We're Looking For3+ years of experience spanning finance operations, data engineering, analytics engineering, data science, or a combination — with a track record of shipping reliable systems in high-growth environmentsUnderstand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurementYou should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmaticallyExcellent communication skills — you can explain a data model to a CFO and a pipeline architecture to an engineerExperience navigating ambiguity in early-stage or rapidly scaling environmentsBonus PointsHands-on experience deploying AI agents or LLM-powered toolsExperience with financial data governance and audit readinessBackground in strategic finance, accounting, FP&A, or finance transformation — or time spent in a high-growth tech company's finance functionCompensationBase cash comp from $175K - $250kAggressive bi-annual performance bonus structureGenerous equity grant vested over 4 yearsUp to $15k Relocation bonus$10K housing bonus (if you live within 0.5 miles of our office)$1.5K monthly stipend for mealsFree Equinox membership$200 monthly laundry reimbursement$200 monthly personal wellness reimbursementHealth, Dental, Vision insurance401(k) with company match

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About ClayOur mission is to help organizations turn any growth idea into reality.We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research.In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue.In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.Some things to know about us:Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.All employees can work for free with world-class coaches who specialize in creativity, management, and more.Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.Read about us in the NYT, Forbes, First Round Review, and more.Hear from our employees directly on our Glassdoor page!Security Engineering @ ClayWe're building a modern security organization from the ground up. We're hiring senior or staff-level security engineers who are strong software engineers first, with deep expertise in either Cloud Security or Application Security and working knowledge across both.This is a hands-on role. You'll spend significant time writing production code—security tooling, detection systems, remediation pipelines, and frameworks that make secure defaults the easiest path. You'll also help define how we leverage modern automation, including frontier AI models (e.g. Mythos), to scale security operations: autonomously discovering vulnerabilities, reviewing AI-generated code, and building detection systems that understand context and intent.What You'll DoBuild security primitives, tooling, and automation that scale with the product and engineering orgDefine and implement our strategy for modern security workflows: AI-assisted vulnerability discovery, automated code review, threat detection, and remediationCollaborate with Infrastructure and Product Engineering to make secure defaults the easiest pathOwn projects end to end: design, implementation, rollout, and measurementCloud SecuritySecure our cloud environment (IAM, network policies, container security, secrets management, and misconfiguration prevention).Define and enforce least-privilege access patterns across services and humans.Improve cloud visibility and control using infrastructure-as-code and cloud security tooling (we currently use Terraform, AWS Config, and AWS Security Hub).Develop preventative controls and safe deployment patterns that reduce the probability and blast radius of incidents.Application SecurityLead secure design and secure coding practices, and prevent common vulnerability classes.Perform architecture reviews and code-level security reviews, and work hands-on with engineers to ship fixes.Own the vulnerability discovery and validation lifecycle: static and dynamic analysis, dependency checks, pen tests, and bug bounties. Integrate modern automated detection systems (including Claude Mythos-class models) to find vulnerabilities at scale.Build and deploy security agents and automated workflows that can scan codebases, propose fixes, and in some cases autonomously deploy security patches.Build frameworks and reusable components for authentication, authorization, and secure-by-default patterns.Define practical policies and controls for code generation tools and coding agent changes, so they can be used safely and consistently.What You'll BringStrong software engineering fundamentals and a track record of shipping production systemsDeep expertise in either cloud security or application security, with the ability to flex into the adjacent domainAbility to build, not just advise: You translate risk into concrete engineering work and ship solutionsComfort with ambiguity: You thrive when building from first principles and defining what good looks likeForward-thinking about tooling: Interest in leveraging modern automation and AI to scale security operations while maintaining engineering rigorOut of ScopeThis is not an IT helpdesk or general operations role. We partner with other teams and vendors for routine operational work so you can stay focused on building scalable security foundations.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  Job Description: Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments.   In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities.   This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.  What you'll do: Deploy with customers on site globally (~50% travel) to support software integration and development activities.   Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.   Provide technical support and training to customers on use of Hivemind.   Develop AI & Autonomy applications using the Shield AI enterprise software development kit.  Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions  Assist in post-sales deployment and integration of Shield AI enterprise software products.   Develop and maintain technical documentation and training materials.   Help customers debug software/API integration issues.   Collaborate with the product engineering team to address customer feedback and improve products.   Act as a technical leader across engagements by elevating team performance, driving execution across cross-functional teams, and ensuring successful delivery in complex environments. Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field, and 7+ years of industry experience, OR   Master’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience.  Strong technical background in software engineering.   Strong proficiency in writing modern C++ code.   Excellent problem-solving and analytical skills.   Strong communication and interpersonal skills.   Preferred qualifications: Experience in the defense, aviation, or robotics industry.   Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer.  Experience operating in a fast-paced, startup-like, environment.  Advanced technical degree, especially in robotics or autonomy related fields  #LI-FB1 #LD Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks. Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production. Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What you’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and  lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences.  Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.  Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.  Why You’ll Love It Here   Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

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Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. Ironclad is looking for an AI-native builder to join the GTM AI & Systems team as a dedicated partner to Marketing & Strategy. This role exists for one reason: to replace manual marketing work with intelligent, autonomous systems that directly accelerate pipeline, revenue, and company growth. You'll design and deploy AI agents that run marketing workflows end-to-end, from content development and campaign launches to audience targeting and competitive intelligence. You won't just be configuring tools; you'll be architecting the agentic infrastructure that lets Ironclad's marketing team operate faster, smarter, and at greater scale. If you are plugged into the frontier of what AI can do, this role was built for you.What You’ll DoBuild AI agents from scratch that autonomously execute marketing workflows, including content generation, campaign development and launches, audience segmentation, creative testing, paid channel performance optimization, competitive intelligence gathering, win/loss analysis, and sales enablement content production.Integrate AI APIs, LLMs, and automation platforms (Actively, Glean, Workato, Zapier, Clay, and others) alongside existing point solutions in our tech stack to create scalable, production-grade solutions across Ironclad's marketing motion.Break down marketing workflows into the components agents need: skills, tools, memory, guardrails, evals, and feedback loops. Getting this architecture right is the job.Design self-improving systems where agents monitor outputs, learn from outcomes, and compound in quality over time without manual babysitting.Partner with Marketing and Strategy teams to deeply understand their needs, ruthlessly prioritize the highest-impact work, and move quickly from problem to working solution.Own the full lifecycle, from identifying which workflows to automate, to prototyping, to production deployment, to monitoring and iteration.Pilot and evaluate emerging AI tools and agentic frameworks; bring what you learn into production fast and help build the case for scaling what works.Build reusable agent infrastructure and documentation so the marketing team can operate, trust, and self-serve on what you've built.Collaborate cross-functionally with GTM Systems, Revenue Operations, and BizTech to develop a deep understanding of Ironclad's full tech stack and select the right AI tools and platforms for each use case.QualificationsYou've built multi-agent systems with orchestration layers and inter-agent communication.3+ years of experience in Marketing Operations, GTM Operations, Growth Engineering, Growth Marketing, or a closely related role with demonstrated, production-level AI or automation work.Ability to translate ambiguous business problems into clear technical AI solutionsProven track record building and shipping AI agents or automated workflows in production environments, with measurable impact on revenue growth or operational efficiency.Hands-on experience integrating AI APIs, LLMs, and automation platforms (e.g., Workato, Zapier, Clay, n8n, or similar).Strong understanding of agentic AI concepts: tool use, RAG, evals, observability, structured outputs, orchestration, and error handling.Familiarity with core GTM and marketing platforms (Salesforce, Marketo, intent platforms, etc.) and how they connect to AI layers.Experimental mindset: you build and validate fast and iterate constantly.Communicates clearly, owns work end-to-end, and doesn't wait to be told what to build next.Preferred: Experience with multi-agent orchestration, MCP servers, or building internal tools adopted by non-technical teams. Base Salary Range: $145,000.00 - $167,000.00The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. US Full-Time Employee Benefits at Ironclad:100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options availableMarket-leading leave policies, including gender-neutral parental leave and compassionate leaveFamily forming support through Maven for you and your partnerPaid time off - take the time you need, when you need itMonthly stipends for wellbeing, hybrid work, and (if applicable) cell phone useMental health support through Modern Health, including therapy, coaching, and digital toolsPre-tax commuter benefits (US Employees)401(k) plan with Fidelity with employer match (US Employees)Regular team events to connect, recharge, and have funAnd most importantly: the opportunity to help build the company you want to work at**UK Employee-specific benefits are included on our UK job postingsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersProficiency in Korean is preferred to support interactions with Korean-speaking clients.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the RoleWe are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development.In this role, you may:Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy.Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective.Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production.Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design.Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure.Partner across research and engineering teams to turn new ideas into practical systems spanning production needs and long-term infrastructure strategy.You might thrive in this role if you have:Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure.Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users.Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution.Interest in compilers, DSLs, program synthesis, or AI for systems.Preferred profileThe ideal candidate is a strong systems and tooling engineer with real depth in kernels and accelerators. They are comfortable working across software and hardware boundaries, can reason deeply about performance, abstractions, and system design, and have hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators. They view AI not as the end product, but as a force multiplier for engineering productivity and system optimization.To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.    The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.      As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.In this role, you will: Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures. Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams. Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency. Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU. Qualifications BS in computer science or related field and 3+ years of experience. Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments. Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines). Bonus Qualifications Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA. Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar). Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. 168,000 - 239,000 a yearBase Salary Range   There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.   Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.