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About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice: Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog) Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog) The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) The Role: AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes. You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call. The Segment As a Field Engineer in the AI Native segment you will work with the most innovative AI-native companies building at the frontier, where GenAI is the core product, not a feature, and where Fireworks is the platform they depend on to ship and scale it. These engagements move fast with fewer stakeholders, so you will spend more time in the code and iterate alongside their engineering teams, while still holding executive-level conversations on architecture and strategy. You will embed deeply with a small set of high-velocity accounts where the quality of your engineering is the relationship. What You'll Work On Technical Delivery and Deployment Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints. For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck. Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. Model Strategy and Fine-Tuning Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology. Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets. Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores. Customer Engagement and Stakeholder Management Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge. Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions. Own the technical relationship from first engagement through production deployment. Embed with their engineering team as a peer, your credibility comes from what you build alongside them. Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens. Product Feedback and Platform Improvement Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features. Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself. Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency. What We're Looking For: Minimum Qualifications 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment. Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering. Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus). Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure. Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon. Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains. Preferred Qualifications 10+ years in technical field or engineering roles. Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads. Prior experience at a company with a forward-deployed or embedded engineering model (Palantir, Scale AI, Anthropic, OpenAI, BCG X, McKinsey Quantum Black, AI Native startups with FDE motions). Prior experience as a technical founder or early engineer at an AI-native company is a strong signal. Track record taking GenAI POCs from prototype to production-scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.On Target Earnings (Plus Equity)$200,000—$260,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleWe are looking for Software Engineers, for one or several of these missions:MissionsEmbedded:Develop low-level drivers for the sensors or actuators of our robotsDevelop the OS and middleware of the robotsIntegrate embedded algorithms (Guidance, Navigation, Control, Computer Vision, …)Optimise runtime of heavy algorithms on various hardware accelerators (GPU, TPU, DSp, …)Command and Control platform:Develop the backbone of a command and control system for massive data ingestion and processingDevelop a web-based front-end to display representations of the theatre of operations, and allow the operator to conduct missionsTooling:Build internal tools to improve efficiency, enforce processes and reduce technical debtDevelop connectors between existing tools across the company (ERP, MES, PLM, …)Deployment & Integration: Implement code into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews.Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions.Cross-Team Collaboration: Work closely with other hardware and software to align development with system requirements. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: Master’s degree in Computer Science or related field, PhD is a plusTechnical Expertise: Strong coding and code architecture skills (Python, C/C++, Rust, CUDA), excellent mathematical foundations, hands-on ML/CV project experience. Experience in big tech companies is a huge plus.Passion for Software DevelopmentStrong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!Why this role?North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.The Agents & Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems.As an engineer on this team, you will help build the core platform that makes this possible: the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that help customers understand and improve what they deploy.This is broad product engineering work across frontend, backend, and AI-powered systems. The goal is to ship reliable software that helps customers augment or automate real business workflows with agents and automations they can trust.As a Software Engineer, Agents & Automations, you will:Design, build, ship, and maintain core capabilities for North’s Agents & Automations platform.Build product and platform features that help users create, run, debug, evaluate, and improve agents and automations.Own features end-to-end, from technical design through implementation, testing, launch, and iteration.Work across the stack, from frontend product surfaces to backend systems, depending on what the product needs.Make practical technical decisions that balance speed, quality, depth, and user impact.Collaborate closely with product, design, modelling, customer-facing teams, and other engineers to define the right outcomes and ship measurable improvements.Use AI actively in your work, while staying intellectually engaged and accountable for the quality and reliability of what you ship.Example problems you might work on include helping users turn natural-language intent into a working automation, adding richer analytics for deployed agents, creating better debugging tools for failed runs, or designing workflow primitives that make complex enterprise automations easier to build.You may be a good fit if:You have built, shipped, and operated production software used by real users or customers.You are comfortable working across backend, frontend, product, data, and infrastructure boundaries.You have strong product judgment, pay attention to product details and care deeply about whether your work helps the end user.You bring high agency: you act, tinker, learn quickly, and drive change without waiting for perfect instructions.You move quickly while maintaining a high bar for correctness, maintainability, and user impact.You communicate clearly, document important decisions, and collaborate well across functions.You can advocate for a point of view, change your mind when the evidence changes, and commit once a decision is made.You are excited to use AI to do your best work, while staying accountable for the systems you build.Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with every part of the stack.If this role sounds exciting, but your experience does not match every bullet, we still encourage you to apply.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.How and Where We Work:Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.For those not near an office: a co-working benefit so you can work alongside others in your city.If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

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🎤 Why voize? Because we’re more than just a job!At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact.Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!💡 Your Mission: Turning Machine Learning capabilities into real user valuevoize is more than a scribe and far more than another documentation tool! We're defining & setting the benchmark what AI in healthcare actually looks like. As Product Manager - ML, you’ll sit at the core of our product, you’ll translate customer, Sales, and Customer Success signal into the ML product roadmap across our markets - defining what “better” means for our models, aligning stakeholders on priorities, and driving a shipping cadence that turns ML capability into measurable user value.🚀 Your Daily Business - No two days are alikeOwn the ML product roadmap for core speech and NLP across our markets, turning field signal into clear prioritiesRun a structured customer-feedback → ML loop with Sales, Customer Support and Customer Success, and direct customer conversations (and close the loop back to the field)Define and maintain the model evaluation framework that gates releases (metrics, slices, thresholds, regression bar)Partner closely with Speech & NLP Leads as your roadmap counterparts to ship improvements to productionImprove the product analytics and ML data integration: close the gaps between what we want to achieve, what we can measure in production, and what we train our models on.Own ML product KPIs (e.g., no-edit rate, documentation rate, edit rate per slot, transcription accuracy) and drive measurable improvements.🤝 Your Skillset - What you bring to the tableExtensive Experience in Product Management, background in speech recognition, NLP, or LLM-based product is a plus.Strong technical fluency in ML: evaluation, training data, latency/quality trade-offs, and release mechanics (you don’t need to train models, but you do need to deeply understand them)Track record of shipping ML-powered products to production with measurable user impactHands-on experience designing and operationalizing ML model evaluation frameworksExcellent communication in English; German is required to lead customer and end-user conversations (roughly B2)We are open to relocators, but this role is ideally based in Berlin and you’ll work in a hybrid set-up.🌱 Growing together - what you can expect at voizeWe are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for peopleBecome a co-creator of our success with a competitive s stock option programGenerous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language coursesYou decide when you work best, that means flexible working hours and a good hybrid set-up, plus dedicated remote working days within the EU.✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!

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About the TeamThe Cooperative AI team is scaling to devices and embedded operations and user experiences.Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work.We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds.We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale.About the RoleWe are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems.In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact.This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users to understand their problems. In this role, you will:Lead the technical direction, architecture, and execution of critical Cooperative Systems initiatives.Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement.Partner closely with stakeholders across Support, Operations, Finance, IT, Sales, Legal, and other functions to identify opportunities for AI-driven improvements.Design and build production systems that leverage large language models and other AI technologies.Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design.Balance rapid experimentation with long-term platform investments.Establish technical roadmaps and execution plans for projects spanning multiple teams.Coach engineers through technical challenges, career growth, and project execution.Help shape the culture, processes, and engineering practices of a growing organization.You Might Thrive in This Role If YouHave experience leading engineering projects involving consumer devices and/or embedded systemsEnjoy building products and systems in ambiguous, fast-moving environments.Are comfortable moving between architecture discussions, coding, stakeholder meetings, and team leadership.Have strong systems design and software engineering fundamentals.Are excited about applying AI to solve real-world operational problems.Communicate effectively with both technical and non-technical audiences.Have a track record of delivering complex, cross-functional initiatives from concept through production.  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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Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Software Engineer on Knowledge Systems, you’ll help build systems that understand what is true about the world. You’ll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond so AI agents can answer questions with unprecedented precision and completeness. Desired ExperienceYou have experience building and maintaining complex distributed backend systemsYou can build data pipelines that process petabytes of documents, metadata, and unstructured dataYou’re comfortable optimizing systems for correctness, reliability, and scaleYou care deeply about data quality and finding high-quality informationPlus: experience building systems involving graph traversal, entity resolution, data quality, or truth discovery Example ProjectsBuild a system that can answer every factual question about every person in the worldDesign a new query language for searching, traversing, and reasoning over billions of facts

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. 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 1500+ 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe’re looking for a technical, systems-minded operator to build and scale the evaluation engine behind Harvey’s platform. As we expand globally, ensuring our models behave reliably, accurately, and jurisdictionally correctly is mission-critical—and evaluation complexity is increasing 10x.As a member of our Product Operations team, you’ll work closely with Applied Legal Researchers, Product, Engineering, AI Research, and human data providers to operationalize evaluation methodologies and embed them into our product development lifecycle. You’ll create the workflows, systems, and tooling that make evaluation a first-class product capability at Harvey.This is a high-ownership role for someone who thrives in ambiguity, loves building structure, and wants to help scale the evaluation infrastructure of a global AI company.What You'll DoBuild and scale the systems that power model and product evaluations across HarveyRun intake, triage, and prioritization for the evaluation request queue, routing capacity to the highest-value coverage gapsEmbed evaluation workflows and readiness checkpoints into the product development lifecycleCreate the single source of truth for evaluation status, results, history, and launch readinessTurn Expert-designed evaluation methodologies into scalable, repeatable operational processesManage human data providers and stand up our internal contract-attorney pipeline, ensuring evaluation quality meets legal standardsWork with Engineering and Research to improve evaluation tooling, automation, and dashboardsDrive evaluation readiness for major product and model launches across geographies and jurisdictionsDocument and operationalize evaluation governance as complexity increasesHelp define how Harvey ensures model accuracy, reliability, and trust at global scaleWhat You Have4–7+ years in technical program management, product operations, research operations, or evaluation/benchmarking rolesExperience working with ML/AI evaluations, benchmarking frameworks, or scientific workflowsComfort with statistical methodologies and SQL or Python, or similar tools to interpret evaluation data (either natively or with AI tool support)Strong business acumen with an ability to apply an ROI-focused mindset to scalingAbility to work deeply with legal experts and operationalize complex evaluation methodologiesStrong cross-functional coordination skills across Product, Engineering, Research, and data providers/vendorsHigh attention to detail and a bias toward clarity, rigor, and reproducibilityAbility to navigate an evolving landscape and bring order to complex systemsStrong communication skills and comfort translating technical nuance for diverse stakeholdersDesire to do whatever it takes to make evaluation systems successful—from writing documentation to diagnosing pipeline issuesDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-SB1Harvey 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 GigaGiga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises.Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point.While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies.If being part of that resonates with you, we'd love to hear from you!Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipMore About the RoleWe're seeking an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions. What You’ll Do:Assisting customer engagements from start to end: run discovery calls & demos, build/maintain world class agents, participate in customer calls, and serve as the primary PoC in a fast-paced environment.Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.Close the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers. Who You Are / Must-Haves:Know the basics: Understanding of React, Python, tool calls, APIs, etc.Interpersonal Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience/interest in customer-facing roles.Entrepreneurial: Preference for candidates with aspirations who want to be founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.Gritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsession to deliver high-quality work.Coachable: Be able to take in feedback and adapt at a quick pace.Experience: 1+ years of experience; computer science, analytics, or consultant background strongly preferred. Perks & BenefitsCompetitive base + bonus + equityCatered lunch dailyDinner stipend$500/month wellness & commuter benefit (gym, fitness classes, mental health)401(k) planMedical, dental, and vision coverage---Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

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Who We AreHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.About the RoleWe are seeking a highly technical Vice President of Infrastructure to build and scale the foundational infrastructure powering our AI cloud platform.This is a hands-on executive leadership role. While you will own infrastructure strategy, organizational growth, and executive-level decision making, we expect you to remain deeply engaged in architecture, design, and engineering execution. You should expect to spend approximately 30-40% of your time directly contributing to technical design, architecture reviews, debugging critical production issues, and partnering with engineers on implementation.The ideal candidate has previously built and scaled cloud platforms, preferably GPU-native cloud infrastructure supporting AI training and inference workloads. You have experience operating at the intersection of executive leadership and hands-on engineering and are excited to help build both the technology and the team.What You'll OwnCloud Infrastructure ArchitectureLead the design and evolution of our AI cloud platformDefine the architecture for GPU orchestration, compute scheduling, networking, storage, and distributed systemsMake critical decisions regarding cloud infrastructure, bare-metal deployments, and platform scalabilityPersonally participate in architecture reviews and key technical initiativesGPU Cloud PlatformBuild and scale large GPU clusters supporting customer workloadsDesign systems for GPU provisioning, scheduling, utilization optimization, and capacity managementDrive platform reliability and performance for AI training and inference workloadsPartner closely with engineering teams on infrastructure requirements for next-generation AI systemsTechnical LeadershipRemain deeply involved in engineering decisions and technical directionContribute directly to infrastructure design and implementation effortsReview architecture proposals, system designs, and major infrastructure changesAct as the technical escalation point for complex infrastructure challengesInfrastructure & ReliabilityEstablish best practices for Kubernetes, observability, CI/CD, security, and operational excellenceBuild SRE and Platform Engineering functions from the ground upDefine reliability standards including SLOs, SLIs, incident response processes, and capacity planningDrive automation across infrastructure operationsOrganizational LeadershipRecruit and develop world-class Infrastructure, Platform, and SRE teamsBuild a high-performance engineering culture focused on ownership and executionPartner with executive leadership on company strategy and infrastructure investmentsManage infrastructure budgets, vendor relationships, and capacity planningRequired ExperienceMust-Have Background12+ years building and operating large-scale infrastructure systemsExperience leading infrastructure organizations while remaining hands-on technicallyPrevious experience building or operating a cloud platform at scaleExperience building GPU infrastructure or AI/ML compute platformsProven track record scaling infrastructure in high-growth startup environmentsDeep Technical ExpertiseExpert-level Kubernetes knowledgeExperience designing and operating multi-region cloud infrastructureStrong understanding of Linux, networking, distributed systems, and storage architectureExperience with Infrastructure-as-Code and automation frameworksDeep expertise in observability, monitoring, and reliability engineeringExperience building highly available production systemsStrongly PreferredExperience with GPU scheduling, Slurm, Kubernetes GPU operators, Ray, or distributed training systemsExperience managing thousands of GPUs in production environmentsBackground supporting AI training and inference platformsHyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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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 To The Role 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-Hybrid

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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 To The Role 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-Hybrid

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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 Cantonese is preferred to support interactions with Cantonese-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 dependent on country of employmentParental 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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As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI's infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI's infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI's infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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The OpportunityHealthcare has a access problem — not enough clinicians, too many patients, and critical gaps that technology hasn't meaningfully closed. Hippocratic AI is changing that. Our safety-focused, healthcare-only LLM platform enables autonomous, clinical-grade conversations with patients at a scale no human workforce could achieve. With over $404M in funding, a $3.5B valuation, and partnerships with leading health systems, we're not iterating on existing tools — we're building a new category.At the center of that platform is voice. As a Senior Staff Research Scientist in Speech Technologies, you'll lead the research and engineering that makes our AI not just intelligent, but genuinely conversational — accurate, fast, and trustworthy in the highest-stakes environments imaginable.What You'll AccomplishYou'll define the ASR foundation for healthcare's most advanced conversational AI. From architecture selection to production deployment, you'll shape a speech recognition system built from the ground up for clinical accuracy — one that sets the standard for what's possible when safety and performance aren't trade-offs.You'll solve speech recognition problems that don't have off-the-shelf answers. Medical terminology, diverse patient populations, real-world acoustic conditions — you'll design and validate models that perform where general-purpose ASR falls short, pushing the frontier of what conversational AI can reliably understand.You'll build the data infrastructure that makes breakthrough models possible. You'll architect the pipelines and curation processes for large-scale medical speech datasets, creating the training foundation that gives Hippocratic AI a durable, compounding advantage in clinical speech recognition.You'll bring research into the real world at meaningful scale. You'll close the gap between state-of-the-art methods and production systems — optimizing for latency, accuracy, and resource efficiency so that patients and clinicians experience the results of your work in every conversation.Location RequirementsWe believe the best ideas happen together. We're on the hunt for a great space in the Bellevue area — and when we find it, this role will be in office five days a week. In the meantime, you'll work fully remote with quarterly trips to our Menlo Park, CA headquarters to connect and collaborate with the team.ResponsibilitiesDesign, develop, and iterate on data-driven ASR models for streaming and non-streaming conversational speech applicationsResearch and implement state-of-the-art end-to-end speech recognition architectures tailored to the medical domainTrain, evaluate, and optimize ASR models across accuracy, latency, and resource utilization dimensionsPreprocess and curate large-scale speech datasets to support robust model trainingCollaborate closely with LLM, product, and clinical teams to integrate speech technologies into the broader Hippocratic AI platformContribute to the team's research culture through experimentation, documentation, and knowledge sharingBasic QualificationsPhD with 7+ years of hands-on ASR research and engineering experience, or a Master's degree with 10+ years of industry experience in speech recognitionDeep experience designing and developing algorithms for accurate, efficient speech recognition in both streaming and non-streaming contextsProven track record training and optimizing ASR models for production — balancing accuracy, latency, and compute constraintsExperience preprocessing and curating large speech datasets for model trainingStrong Python and C++ programming skillsComfortable working in Linux/Unix command-line environmentsClear communicator — you can translate complex technical work for cross-functional partnersPreferred QualificationsHands-on experience building ASR systems from 0 to 1, including data pipelines, model architecture selection, and evaluation frameworksPractical experience with ESPnet, Kaldi, and PyTorchExperience with CUDA for GPU-accelerated training and inferenceFamiliarity with leveraging LLMs to enhance speech recognition qualityExperience with neural and end-to-end endpointer modelingPublications in tier-1 venues in speech recognition or NLP (Interspeech, ICASSP, ACL, etc.)What You'll Love About Hippocratic AIThe mission is real. Every improvement you make to speech recognition translates directly into better patient experiences — more accurate conversations, fewer errors, broader access to care for people who currently have none.The team is exceptional. You'll work alongside researchers and engineers from Google, Meta, Microsoft, NVIDIA, and Stanford, as well as clinicians and health system leaders who keep the work grounded in what actually matters to patients.The technical problems are genuinely hard. This isn't fine-tuning an existing API. It's building a purpose-built, safety-critical speech stack for one of the most complex and consequential domains in the world.The strategic moment is now. With $404M raised, a $3.5B valuation, and real deployments across leading health systems, Hippocratic AI has both the resources and the momentum to define this category — and the equity upside to match.---Ready to Apply?If you've spent your career pushing what speech recognition can do and you want that work to matter in ways that reach millions of patients — we'd like to talk. Apply with your resume and, if you have relevant publications or projects you're proud of, share those too. We review every application and move quickly with candidates who are a strong fit.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the TeamThe Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the RoleWe’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will influence how developers around the world write, review, test, and maintain software. In this role, you will:Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, and developer tooling.Design AI-powered workflows that generalize across a wide variety of software engineering teams, languages, codebases, and development practices.Discover and implement novel ways to apply AI to eliminate friction throughout the software development lifecycle.Partner closely with product, design, and research to understand developer needs and rapidly translate insights into shipped product improvements.Work directly with users — including developers at OpenAI, open-source contributors, startups, and large enterprises — to understand pain points and validate solutions.Improve the reliability, observability, scalability, and performance of the systems and workflows you build.You might thrive in this role if you have:Strong software engineering fundamentals and experience building production systems.Experience with TypeScript, Rust, or a similar systems or application programming language.Deep familiarity with modern software development tools, workflows, and engineering practices.Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities.A desire to own products and features end-to-end, from conception through launch and iteration.Strong product judgment and a bias toward learning from real user feedback.Creativity in reframing problems, challenging assumptions, and inventing new workflows rather than simply optimizing existing ones.The ideal candidate is someone who loves building developer tools, thinks deeply about how software gets built, and is excited by the opportunity to redefine those workflows from first principles in the age of AI.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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We are looking for the bestAbout Us42dot은 소프트웨어와 AI로 모빌리티 문제를 해결하기 위해 노력하는 모빌리티 AI 기업입니다. 현대자동차그룹 글로벌 소프트웨어 센터로서, 42dot은 소프트웨어 정의 차량 개발을 선도하며 미래 모빌리티를 개척하고 있습니다.우리는 안전을 최우선으로 하고 사용자 중심적인 소프트웨어 정의 차량 기술을 개발하여, 스마트폰처럼 지속적인 업데이트를 통해 최신 성능을 제공합니다. 소프트웨어와 AI 기술을 발전시켜, 42dot은 모든 것이 연결되고 자율적으로 움직이는 자율 관리형 도시 교통 운영 체제를 통해 새로운 세상을 그려 나가고 있습니다.Intelligence Service 팀의 AI Engineer는 대화형 지식 에이전트(Knowledge Agent)가 더 정확하고 더 신뢰할 수 있는 답을 내도록, RAG 기반 agent orchestration을 설계, 서빙, 운영합니다. 질의 이해부터 planning, tool routing, retrieval, 응답 생성, 품질 제어까지 전체 흐름을 책임지며 팀의 기술 축이 되는 시니어 역할을 기대합니다.Responsibilities대화형 지식 에이전트의 RAG 기반 agent flow를 설계하고, query understanding -> planning -> tool routing -> retrieval -> response generation으로 이어지는 흐름을 고도화합니다.multi-turn 대화 이해와 retrieval 연계를 최적화합니다.grounding, answer verification, guardrail, fallback 등 응답 품질 제어 로직을 구현하고 hallucination을 방어합니다.답변 품질(faithfulness, relevancy)에 대한 eval 하니스, 회귀 테스트, A/B 실험 체계를 구축, 운영합니다.API contract, cache, config/prompt registry, admin API 등 프로덕션 운영에 필요한 백엔드 기반을 구축합니다.운영 로그와 품질 지표를 기반으로 응답 품질, latency, failure case를 분석하고 개선합니다.팀 내 설계 리뷰와 기술 의사결정을 리딩하고, 복잡한 문제를 재사용 가능한 시스템 개선으로 연결합니다.Qualifications백엔드/AI 서비스 설계, 개발, 운영 경력 7년 이상이신 분Python을 능숙하게 사용하시는 분 (Java, Kotlin 등 추가 언어 경험 우대)production traffic을 받는 API/backend service를 설계하고 운영해 보신 분RAG, LLM application, LLM agent 중 하나 이상을 프로덕션 레벨로 설계, 서빙, 운영해 보신 분로그와 지표를 기반으로 응답/검색 품질 문제의 원인을 분석하고 개선해 보신 분초기 설계, 구조화, 표준화, 운영 안정성 개선을 주도해 보신 분Preferred QualificationsRAG, LLM Agent, tool calling, planner/synthesizer 구조 개발 경험LangGraph 등 agent/graph orchestration 프레임워크 경험grounding, hallucination 방어, guardrail, fallback 등 응답 품질 제어 경험LLM eval(faithfulness/relevancy, RAGAS류) 또는 검색 품질 평가 프레임워크 경험Vector Search(OpenSearch, Elasticsearch, MongoDB Atlas), embedding, reranker 활용 경험AWS, Kubernetes, Helm, Kafka 기반 대규모 서비스 운영 경험차량, 음성 비서, 다국어/다지역 서비스 경험기술 리딩, 설계 리뷰, 주니어 멘토링 경험Interview Process서류전형 - 코딩테스트 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.3개월의 수습기간이 적용될 수 있습니다.※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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We are looking for the bestAbout Us42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.About the RoleWe are building next-generation vehicle intelligence at 42dot, enabling vehicles to understand user intent, trip context, vehicle state, environmental conditions, and system constraints, then coordinate vehicle behavior to deliver personalized, proactive, transparent, and trustworthy experiences.As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs. You will work across vehicle telemetry, user behavior, navigation, energy usage, thermal systems, cabin comfort, charging, simulation, and fleet data to build intelligent systems that can predict, recommend, plan, and optimize vehicle behavior.This role is focused on applying modern AI and machine learning technologies, including reinforcement learning, multimodal AI, foundation models, large language models, personalization, time-series forecasting, planning, simulation-based learning, and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors, optimizing system-level decisions, and improving vehicle experiences through simulation, fleet feedback, and real-world operating data.You will also collaborate closely with autonomous driving and VLA engineers to connect, integrate, and combine vehicle intelligence with driving intelligence. This role is not focused on developing core VLA models, but it will help define how user intent, trip goals, vehicle constraints, energy targets, comfort preferences, and system-level recommendations are shared with VLA and autonomous driving systems.ResponsibilitiesDevelop AI-powered vehicle intelligence features that understand user intent, trip goals, vehicle state, and system constraints.Apply reinforcement learning, planning, optimization, and data-driven modeling to improve vehicle-level decisions across energy, comfort, charging, routing, and proactive vehicle preparation.Build models using vehicle telemetry, navigation data, user behavior, weather, traffic, cabin conditions, charging patterns, and fleet data.Create personalization models that learn user routines, comfort preferences, driving patterns, charging habits, and trip priorities while preserving privacy and user control.Use simulation, digital twins, and scenario-based testing to train, evaluate, and validate AI behavior before production deployment.Collaborate with autonomous driving and VLA teams to define interfaces for sharing user intent, route objectives, vehicle constraints, energy targets, comfort preferences, and system-level recommendations.Integrate ML models into production vehicle and cloud platforms, considering latency, compute efficiency, reliability, safety, explainability, and over-the-air update readiness. Work cross-functionally with Product, UX, Systems Engineering and Controls.QualificationsBachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Electrical Engineering, or a related technical field.3+ years of experience developing and deploying machine learning or AI solutions in production environments.Strong experience with machine learning frameworks and programming languages such as Python, PyTorch, TensorFlow, JAX, or similar tools.Experience building predictive, optimization, recommendation, forecasting, or personalization models using large-scale real-world datasets.Solid understanding of reinforcement learning, time-series modeling, statistical learning, and data-driven decision-making systems.Preferred QualificationsExperience applying reinforcement learning, planning, simulation-based learning, or optimization techniques to complex real-world systems.Familiarity with vehicle systems, connected vehicles, mobility platforms, automotive software, energy management, charging systems, or intelligent transportation technologies.Experience working with multimodal AI, foundation models, large language models (LLMs), agent-based systems, or personalized AI experiences.Knowledge of deploying ML models to edge or embedded platforms, including considerations for latency, compute efficiency, safety, reliability, and on-device inference.Experience collaborating with cross-functional teams including product, UX, controls, systems engineering, autonomous driving, or robotics organizations to bring AI-powered features into production.Interview ProcessApplication Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - HiringThe screening procedures may vary depending on the position, schedule, or other circumstances.You will be individually notified of the screening schedule and results via the email address provided in your application.Compensation$220,780 – $311,220 per yearAdditional InformationIn accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.All documents must be submitted in PDF format and under 30MB in size. If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.※ Please review the following information before applying.How to work in 42dot, About 42dot Way →