The AI job market moves fast. We keep up so you don't have to.

false

About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the roleWe are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.You’ll thrive in this role if you:Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.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.

false

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

false

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

false

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

false

Aquant is the Agentic AI platform purpose-built for service organizations that maintain complex equipment. Unlike generic AI tools, Aquant combines domain expertise with intelligent agents that capture and apply institutional knowledge across service teams. By analyzing service data, from manuals to technician notes, Aquant improves troubleshooting, accelerates training, reduces costs, and transforms service into a revenue driver. Learn more at www.aquant.ai We are looking for a Solution Architect who can translate customer pain points into AI agents, workflows, and scalable solution designs. This is a customer-facing role at the intersection of solution architecture, solution engineering, AI design, and software project management.You will partner with customers and cross-functional internal teams to understand business problems, shape technical solutions, guide proofs of concept, support implementation, and drive measurable outcomes. The ideal candidate is equally strong in consultative discovery, technical architecture, stakeholder communication, and delivery execution.What you’ll doTranslate customer pain points into AI agents, workflows, and decision-support experiences that solve real business problems.Design end-to-end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human-in-the-loop workflows, and deployment approach.Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly.Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption.Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment.Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non-technical audiences.Drive measurable business outcomes such as faster time to resolution, improved first-time fix, increased remote resolution, stronger adoption, and better customer experience.Create reusable implementation assets, reference architectures, playbooks, and industry-specific patterns that improve repeatability and speed.Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.What we’re looking for7+ years of experience in Solution Architecture, Solution Engineering, Sales Engineering, Technical Consulting, Forward Deployed Engineering, Enterprise Implementation, or a related customer-facing technical role.Proven experience translating customer business problems into technical solution designs.Demonstrated experience with AI / GenAI / LLM-based solutions, including agentic workflows, agent building, prompt design, retrieval-based systems, orchestration, or workflow automation.Strong background in solution engineering / architecture for enterprise software environments.Strong background in customer-facing work, including discovery workshops, executive communication, technical presentations, and stakeholder management.Strong technical foundation in databases, SQL, and scripting (e.g., Python), with the ability to understand code and system behavior and collaborate effectively with engineering teams on AI/GenAI solutions.Experience owning or heavily influencing software project management, including scope, delivery planning, risk management, cross-functional coordination, and implementation governance.Strong understanding of APIs, integration patterns, enterprise systems, and data flows.Solid technical foundation, including working knowledge of databases, SQL, and scripting (e.g., Python or similar). Comfortable understanding code, data structures, and system behavior, and able to engage meaningfully with engineering teams in the context of modern GenAI-driven solutions. Ability to balance strategic design with hands-on problem-solving and prototyping.Excellent written and verbal communication skills.Bonus pointsExperience in field service, manufacturing, industrial equipment, medical devices, asset-centric operations, or other complex service environments.Experience with CRM, FSM, ERP, ticketing, knowledge, or service platforms.Experience with AI evaluation, observability, or performance measurement in production.Experience in regulated or compliance-sensitive environments.Familiarity with voice AI, contact center workflows, or service operations transformation.It's not enough to have a cool product, join us because you share our values:These guiding values inspire every Aquant employee. They are how we operate and enable our company as a whole to have a greater impact and achieve our vision:Be Humble and Respectful: We are one team, where collective success is more important than individual ego. Treat your colleagues with respect and empathy, act with good intent and value everyone’s contributions. Be Curious: Keep learning, and asking questions to understand complex situations. Embrace new challenges. Keep an open mind, and be receptive to feedback. Take Ownership: Focus on achieving measurable and meaningful outcomes. Take decisive action, solve problems proactively, and take ownership for projects and results. Act with Integrity: Act with Integrity. Do great things while doing the right thing for your customers and colleagues. Some of our benefits:We’ve got you covered: From medical, dental, vision, life, and 401k match & retirement, we’re here to support your physical, mental, and financial well-being.Support yourself and those you love: We offer parental leave to full-time employees across all Aquant locations.Vacation your way: We want to make sure you have time to meet your personal needs with generous PTO and flexible vacation planning.Everyone is an owner: We want everyone to feel ownership over their work and what we are building here, which is why we offer equity to full-time employees.Build your career: Every Aquant employee is in control of their career development with our learning stipends, tools, and training.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Aquant is committed to hiring a diverse and talented workforce. We participate in the E-Verify program to ensure that our employees are authorized to work in the United States.

false

About Zoox Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. About Our Internship Program Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. Project Overview This internship opportunity is within the Perception Data team, which focuses on tooling and pipelines around autonomous vehicle perception data -- specifically the systems that discover, curate, and deliver high-quality training data at scale.  Interns on this team will have the chance to work on Zoox's configurable data mining framework that powers large-scale extraction of labeled and unlabeled data from autonomous vehicle logs. This includes building new mining strategies (run loading, sample selection, and storage stages), integrating ML-driven data curation (e.g., embedding-based search, vision-language model filtering), scaling pipelines across distributed compute, and improving the developer experience around mining configuration and observability. Interns will gain valuable experience and insight into how targeted, high-quality training data is mined from petabyte-scale autonomous driving logs to improve the perception models that enable safe self-driving. Qualifications: Pursuing a Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field Proficiency in Python, including experience with data-oriented libraries such as pandas, NumPy, or PyArrow Experience with at least one web framework (e.g., FastAPI, Flask, Django) or frontend framework (e.g., Vue, React, Angular) with TypeScript Understanding of fundamental computer vision concepts (e.g., object detection, image classification, 2D/3D bounding boxes, point clouds) Experience with SQL or large-scale data processing tools (e.g., Databricks, PySpark, or similar) Experience working with version control (Git) and code review workflows Strong problem-solving skills and ability to work independently on open-ended engineering problems Bonus Qualifications: Experience with ML frameworks such as PyTorch or TensorFlow, particularly for vision tasks Familiarity with embedding models (e.g., CLIP/OpenCLIP) or vision-language models (VLMs) for data curation or retrieval Experience with distributed computing or pipeline orchestration frameworks (e.g., Spark/PySpark, Airflow, or similar) Exposure to cloud infrastructure (AWS S3, Databricks) Familiarity with protobuf for structured data serialization Prior work on data mining, active learning, or dataset curation for ML training Experience with LiDAR/camera sensor data in autonomous driving or robotics contexts Requirements: Currently working towards a B.S, or M.S degree in a relevant engineering program Good academic standing Able to commit to a 12-week internship during one of the following summer 2026 cohorts: May 18th - August 7th, OR May 26th - August 14th, OR June 15th - September 4th At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Compensation: The monthly salary for this position is $9,500. Compensation will vary based on geographic location. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

false

The RoleWe're looking for a talented, hungry, and technically excellent Senior Software Engineer, Agents to join our team.In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work.You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required.This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built.Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++.LM StudioWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our Interview ProcessWe are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.

false

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

false

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

false

The RoleWe're looking for a talented, hungry, and technically excellent Application Engineer to join our team.In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work.You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required.This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built.Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++.LM StudioWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our Interview ProcessWe are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.

false

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

false

About the TeamThe AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.About the RoleWe are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.In This Role, You WillStrategic AWS Engagement & InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.Influence joint account strategy and technical direction for high-priority opportunities.Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.Complex Deal Leadership & ExecutionLead technical strategy for large, ambiguous, and high-stakes enterprise engagements.Guide customers from early ideation through architecture design, prototyping, and production deployment.Act as a technical decision-maker and escalation point, de-risking complex implementations.Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.Solution Architecture & Hands-On BuildingDesign and communicate end-to-end AI architectures leveraging OpenAI and AWS services.Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.Establish best practices for scalable, secure, and production-ready GenAI systems.Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.Ecosystem Enablement & ScaleEnable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.Cross-Functional Leadership & FeedbackPartner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.We’re Looking for Someone With8+ years of experience in solutions architecture, technical consulting, or equivalent customer-facing roles.Deep experience with AWS architecture and field engagement models.Strong understanding of AI/ML systems and modern application architectures.Proven track record of leading complex, enterprise-scale technical engagements.Experience supporting enterprise sales cycles as a senior technical lead.Strong ability to translate ambiguous business problems into scalable technical solutions.Demonstrated judgment in prioritization, tradeoffs, and resource allocation.Experience influencing senior technical stakeholders and executive leadership.Track record of driving production deployments and measurable customer outcomes.Experience working within partner ecosystems (AWS, GSIs, ISVs).You Might Thrive in This Role If YouOperate as a technical leader and systems thinker, not just an individual contributor.Balance hands-on building with strategic influence and scale.Know when to go deep technically vs. enable others to execute.Build trust quickly with engineers, architects, and executives alike.Default to creating repeatable patterns, not one-off solutions.Are comfortable owning ambiguous, high-visibility problem spaces.Take a long-term, ecosystem-oriented view of impact.Are motivated by driving customer and partner success at scale.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.

false

The RoleWe are hiring a C++ Systems Software Engineer in New York City. You design, build, and optimize the core native runtime that powers LM Studio and the C++ libraries powering the app and our APIs. You will work across our runtime, LLM engines, llama.cpp/MLX integrations, build infrastructure, and the future of our on-device AI software. Your work centers on system and library integration: wiring our C++ runtime to GPU backends, vendor SDKs, and operating-system services to support user-facing applications. You will implement and harden system-level code (threading, memory, files, IPC, scheduling) and integrate platform acceleration paths (Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the execution paths that make local AI fast and dependable, and our software well architected and maintainable.Responsibilities - Contribute to the C++ runtime that powers LM Studio- Extend our LLM engine integrations and build platform-aware performance features for desktop operating systems.- Implement resilient IPC, resource management, and scheduling logic to support concurrent model execution.- Improve our build, packaging, and release infrastructure for native components.- Collaborate with the rest of the team to deliver cohesive and recognizable user experiences.Qualifications- 4+ years building production C++ systems software across macOS or Linux.- Thinks in systems and knows how to reason about performance, reliability, and user experience end-to-end.- Proven maturity designing internal and external APIs that are ergonomic, maintainable, and stable over time.- C++11 (or newer) expertise with RAII as a default mindset and modern language/library proficiency.- Deep knowledge of concurrency, memory management, file systems, and network protocols.- Experience optimizing performance with profilers, tracing, and hardware counters.LM StudioWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our products include the LM Studio desktop app, our developer SDKs: lmstudio-js and lmstudio-python, our CLI lms, MLX engine mlx-engine for M-chip Macs, venvstacks which enables us to ship Python-based software, the collaboration Hub for individuals and teams, and more currently being built.

false

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

false

ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEDesign and implement the infrastructure and tooling used by poolside researchers and engineers. YOUR MISSIONTo ensure our progress leads to meaningful improvements to our users.RESPONSIBILITIESResearch and implementation of evaluations and benchmarks; both for base models and for instruction following modelsCollaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skillsWork in a team: plan future steps, discuss, and communicate clearly with your peersSKILLS & EXPERIENCEExperience with Large Language Models (LLM)Strong understanding and intuition of LLMs, and their limitationsGood taste, and a curious mindsetStrong engineering backgroundStrong programming skills, ideally across multiple languagesFamiliar with full software development life cycleProgramming experienceLinuxStrong algorithmic skillsMultiple languages, including PythonUse modern tools and are always looking to improveStrong critical thinking and ability to question code quality policies when applicablePROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with one of our Founding EngineersBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

false

Vapi (/ˈVɑːpi/):We’re creating the shift to voice as humanity’s default interfaceWe’re the most configurable platform for deploying voice agentsWe’ve grown to over 600k developers in two years, adding 2,000+ every dayTry talking to Vapi now!Why We’re Hiring This Role:As Vapi continues to scale, we are working with increasingly complex enterprise customers deploying voice agents across mission-critical workflows. We’re hiring a Agent Engineer to partner with customers and internal teams to design and deploy scalable AI agent architectures. This role sits at the intersection of engineering, product, and customer success and is responsible for translating business requirements into technically sound architectures that drive successful enterprise deployments.What You’ll Do:30 Day:Ramp on Vapi’s platform architecture, APIs, and agent capabilitiesShadow customer deployments and technical discovery callsLearn the technical architecture of current enterprise customer implementations60 Day:Lead technical discovery with customers and design solution architecturesBuild rapid prototypes using AI-assisted development toolsProduce architecture diagrams and technical documentation for customer deployments90 Day:Own end-to-end technical design for enterprise deploymentsArchitect complex integrations using APIs, webhooks, and event-driven systemsPartner with engineering and product to identify platform improvements from customer feedbackWho You Are:5+ years in solutions architecture, pre-sales engineering, technical consulting, or similar customer-facing technical rolesStrong ability to translate business requirements into technically sound solutions and communicate effectively with both engineers and executivesExperience owning end-to-end customer engagements and delivering complex technical solutions with measurable outcomesComfortable working with enterprise customers ($240K+ ACV) in complex stakeholder environmentsAutonomous and self-directed, able to scope, design, and drive solutions independentlyTechnical Strengths:Proficiency in agent design and AI-assisted development, including rapid prototyping using tools such as Claude Code, Cowork, or similar developer toolingExperience designing agentic workflows including tool use, function calling, and multi-step reasoning chainsStrong experience architecting API-first integrations using REST APIs, webhooks, and event-driven systemsProficiency in at least one programming language such as Python or JavaScriptExperience working with conversational AI, voice or telephony platforms, NLP/NLU systems, or LLM-based applicationsBonus:Experience with SIP or WebRTCExperience with CPaaS platforms such as Twilio, Vonage, or GenesysWhy Vapi:Generational impact: Build the human interface for every businessOwnership culture: 70% of the company are previous foundersKind team: The founders, Jordan and Nikhil, are CanadiansTier-1 Investors: YC, KP seed, Bessemer Series AWhat We Offer:Real stake: We offer a competitive salary and excellent equity ownershipComprehensive health coverage: medical, dental, and vision plansTeam love: We love hanging out, and we do quarterly off-sitesFlexible time off: take what you needMore: catered meals, transportation, gym, and a $10k annual L&D budget

false

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.    The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.      As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.In this role, you will: Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures. Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams. Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency. Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU. Qualifications BS in computer science or related field and 7+ years of experience. Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments. Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines). Bonus Qualifications Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA. Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar). Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. 217,000 - 307,000 a yearBase Salary Range   There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.   Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

false

About Us:Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.The RoleWe are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you!Requirements5+ years of experience writing high-quality, high-performance code.Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).Familiarity with Nvidia GPU architecture and CUDA.Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc).Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

false

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.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. 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.Base Pay Range (Plus Equity)$170,000—$240,000 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.

false

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs the Senior Manager of Data Science at Abridge you will be responsible for building a world-class data team, implementing a comprehensive data strategy that can help democratize data in the age of AI and use data to drive actionable insights. We’re looking for a leader who has high-agency, strong taste, and wants to make a high impact while growing our U.S. based team.This role is crucial to our company as the data science team will serve as a central resource to provide insight and clarity while speeding up decision making. Your key cross-functional partners will include our Product, Engineering and Science teams, as well as our commercial and finance teams to ultimately help guide our decision making.What You’ll DoAs the leader of our data science function, you’ll be responsible for:Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the teamFoster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorshipDrive product strategy through data-driven insights across our growing product portfolio, including user behavior analysis, deep-dives into product performance metrics, causal inference experimentationPartner with our product, strategy, and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impactCollaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinicallyEffectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive teamStructure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the companyMake critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debtBuild the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generationWhat You’ll BringMS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and executionDepth of experience using Python, R, SQL for large-scale analyticsComfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learningExperience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environmentBonus PointsKnowledge of healthcare settings, electronic health records (EHR), and healthcare billingExperience diving into / shaping Analytics Engineering (recruiting & supporting)We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employeesComprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.Paid Parental Leave: Generous paid parental leave for all full-time employees.Family Forming Benefits: Resources and financial support to help you build your family.401(k) Matching: Contribution matching to help invest in your future.Personal Device Allowance: Tax free funds for personal device usage.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.