OpenAI

Full-stack Engineer

• Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.
• Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.
• Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.
• Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
• Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.
• Design and manage internal integrations, including Slack bots and workflow automation solutions.
• Support IAM processes by automating access provisioning and lifecycle management for internal applications.
• Collaborate with the IAM team to manage cloud-based identity and access controls, ensuring compliance with security policies and standards for internal applications.
• Collaborate with security teams to align technology automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
• Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.
• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Software Engineer, Internal Applications – Enterprise

Platform Engineer

• Design, build, implement, and maintain scalable and performant endpoint management infrastructure across macOS, Windows, iOS, and Android
• Deliver endpoint management efficiencies and capabilities through bespoke software development and implementation of open source and first-party solutions
• Employ modern Infrastructure-as-Code (IaC) methodologies and develop GitOps-driven solutions for fleet management at scale
• Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP)
• Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimize processes for scalability and operational efficiency
• Partner with IT, Security, and cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards

Client Platform Engineer

Engineer

• Design and implement perception pipelines for detection, tracking, segmentation, depth/optical flow, and scene understanding
• Build robust sensor ingest systems including camera capture, IMU/time sync, buffering, and zero-copy data paths
• Calibrate and fuse multimodal sensors (intrinsics, extrinsics, temporal sync) and implement state estimation (EKF/UKF, VIO/SLAM)
• Optimize on-device inference and vision kernels across CPU/GPU/NPU/ISP, focusing on quantization, compilation, and scheduling under power/thermal limits
• Define clean interfaces to planning/control teams, specifying contracts, latency/throughput budgets, and fault-tolerant fallbacks
• Instrument performance and reliability through profiling, telemetry, replayable logs, dataset curation, and automated regression testing (SIL/HIL)
• Collaborate cross-functionally with camera, systems, and controls engineers to ship features and triage field issues with root-cause fixes
• Own the full stack from sensor ingest and calibration to on-device optimization and clean system interfaces

Perception Engineer

Software Engineer

• Manage Bills of Materials (BOMs), Engineering Change Orders (ECOs), logistics, and supply chain processes to support production readiness and program timelines
• Create, manage, and structure complex Bills of Materials (BOMs)
• Generate and process Engineering Change Orders (ECOs) and Manufacturer Change Orders (MCOs)
• Resolve supply chain logistics issues, track part deliveries, and manage allocations
• Ensure production material readiness (“Clear-to-Build") to meet program milestones
• Collaborate closely with Engineering, Operations, Contract Manufacturers (CMs), Global Commodity Managers, and external partners to maintain quality, compliance, and readiness across the product lifecycle
• Maintain part numbers, Approved Manufacturer’s Lists (AMLs), and ensure compliance with safety/security requirements
• Drive logistical and configuration management aspects of new product development and manufacturing

Engineering Program Specialist

Program Manager

• Co-own the recruiting automation roadmap and prioritize high-impact automation opportunities across sourcing, interviewing, offers, and onboarding
• Translate recruiter and coordinator pain points into automation opportunities and partner with People Innovation Labs for custom builds
• Pilot and scale AI-first workflows; run experiments, measure ROI, and decide when to expand or sunset
• Build lightweight automations and dashboards directly (Airtable automations, Ashby workflows, Snowflake SQL queries, ChatGPT prompts)
• Bridge recruiting and People Innovation Labs to translate needs into requirements and ensure smooth integration
• Streamline processes across Ashby, Juicebox, Airtable, Snowflake, Brighthire, ChatGPT, and custom tooling through automations and connective workflows
• Define success metrics (hours saved, adoption rates, cycle time reductions) and report outcomes to Recruiting leadership
• Drive adoption in partnership with Enablement to ensure new workflows land well with recruiters, sourcers, and coordinators
• Safeguard compliance, legal, and quality standards for automations

Program Manager, Automation and Optimization

Project Manager

• Embed with Recruiting Leads as the dedicated RecOps partner, translating hiring priorities into structured project plans
• Coordinate cross-functional recruiting projects across RecOps, Recruiting Leads, Finance/StratFin, and People Ops; lead kick-offs, checkpoints, and retrospectives
• Maintain project trackers, milestones, calendars, timelines, deliverables, and dependencies; proactively flag risks, bottlenecks, or resourcing needs
• Manage RecOps calendars to align project timelines with tool rollouts, ensuring smooth coordination across the team
• Partner with Enablement to plan trainings and rollout support, ensuring new tools and processes are effectively adopted
• Assist Recruiting Leads in organizing their teams’ projects and priorities in alignment with RecOps practices
• Surface updates, blockers, and decision points to RecOps PMs and Recruiting leadership to ensure alignment and visibility
• Deliver weekly progress updates and reporting leveraging data from Ashby, Airtable, and Snowflake in partnership with RecOps analytics
• Identify opportunities to streamline workflows, recommend process enhancements, and pilot small improvements
• Own project execution, milestone tracking, risk management, and stakeholder communication as the day-to-day driver for Recruiting Leads' initiatives

Project Manager, Recruiting Operations

Systems Engineer

• Coordinate early engagements on product architecture, feature definition, and program execution
• Support system definition and drive closure of architecture and technical opens in the early stages of a project; establish and maintain a clear feature baseline
• Identify and highlight technical risk areas and mitigation strategies in partnership with multi-functional engineering teams
• Grasp complex technical topics and abstract key issues/risks into actionable communication for leadership
• Maintain a full-system view as the point of convergence across sub-systems (EE/ME/FW/SW, ID/PD, test, operations)
• Create and maintain comprehensive schedules including baselines, cross-functional dependencies, and critical paths
• Lead development budgets and related activities (purchase orders, change requests, invoicing) with rigorous tracking
• Drive key decisions under ambiguity, balancing risk, priority, and schedule
• Establish working cross-functional program plans; identify and manage dependencies and support resolving issues between teams
• Communicate development and feasibility needs, set milestones for checkpoints and status updates, and drive alignment across the organization and with external partners
• Lead cross-functional teams through program milestones and engineering validation activities (e.g., EVT/DVT/PVT)
• Create comprehensive build plans and drive engineering builds with vendors and contract manufacturing (CM/ODM) partners
• Deliver regular executive updates/presentations and drive decision alignment
• Identify and drive process efficiencies for new product introduction (NPI) with multi-functional teams
• Travel as needed to support engineering builds and on-site manufacturing activities

Systems Engineering Program Manager

Recruitment

• Leading targeted sourcing strategies to identify and engage candidates across the entire consumer products hiring slate (electrical, mechanical, industrial design, firmware, test & validation, manufacturing/DFM, supply chain engineering, test automation, etc.).
• Building and maintaining a strong pipeline of passive candidates through proactive outreach, market mapping, research, and community/network development (OEMs, contract manufacturers, fabless companies, design consultancies, maker communities, conferences).
• Partnering closely with hiring managers, product designers, and engineering leads to deeply understand role requirements, product milestones (prototyping → pilot → HVM), and refine sourcing approaches.
• Creating focused search strategies (companies, keywords, channels, technical signals) for specialized roles such as SoC/PMIC engineers, RF/RFIC, power management, low-level firmware, and DFM/manufacturing engineers.
• Leveraging advanced sourcing techniques and tools (Boolean, GitHub/Repo signals, patent/driven searches, trade shows, academic labs, conference programs) to surface exceptional candidates.
• Representing OpenAI at industry events, hardware meetups, and conferences to promote our mission and build long-term talent relationships.
• Ensuring a high-quality candidate experience and maintaining accurate, actionable candidate data and metrics in the ATS to inform prioritization and decision-making.

Technical Hardware Sourcer, Consumer Products

• Manage the full lifecycle of commercial construction projects from initial design to final handover
• Oversee and execute a wide range of projects simultaneously—from complex retrofits to large-scale buildouts—ensuring each is accurately defined, adequately staffed, and delivered on time and within budget
• Lead critical project management initiatives and specialty programs (such as EBCs and other unique construction efforts)
• Collaborate cross-functionally with Real Estate, Corporate Security, IT, Finance, and external stakeholders including contractors and architects
• Manage capital budget planning, variance tracking, and financial reporting for all projects
• Conduct detailed project estimating, budgeting, and financial analysis to ensure fiscal responsibility and efficiency
• Engage in continuous improvement initiatives to evolve design and construction processes
• Engage and actively manage external vendors to deliver high-quality work
• Lead vendor management and contract administration, including sourcing, negotiating, and managing agreements
• Travel to project sites on occasion and participate in on-site oversight

Workplace Project Manager – Design and Construction

Engineering Manager

• Lead the development and operation of OpenAI’s Continuous Delivery platform
• Drive evolution of the Delivery Platform to support faster iteration cycles, improved reliability, and reduced deployment friction
• Enable engineering teams to ship features frequently with confidence, backed by robust testing, monitoring, and rollback capabilities
• Partner closely with Product, Infrastructure, Observability, and Reliability teams to ensure changes reach production quickly and safely
• Scale the delivery ecosystem to meet demands of a growing global user base and expanding codebase
• Lead, grow, and inspire a team of engineers; set direction and foster a culture of operational excellence
• Shape critical technical capabilities that unlock speed and reliability for research and product teams

Engineering Manager, Delivery Engineering

Supply Chain

• Lead the design, implementation, and ongoing management of our global supply chain technology landscape.
• Own the strategy and execution for core supply chain systems, ensuring they scale to support OpenAI’s growing business operations while integrating seamlessly with Finance, Procurement, and People systems.
• Partner closely with Product, Engineering, Finance, and Supply Chain leadership to enable efficient, auditable, and AI-enabled processes.
• Define the long-term vision and roadmap for supply chain systems based on business needs and strategic direction, ensuring scalability, compliance, and extensibility.
• Drive stakeholder management and cross-functional partnerships with Finance, Procurement, Engineering, and other teams to align business priorities with systems strategy.
• Identify and manage system integrators and external partners to implement the roadmap while building internal capabilities.
• Build, manage, and mentor a high-performing team of systems managers, engineers, contractors, and solution architects; provide guidance, career development, and coaching.
• Own end-to-end design and delivery for procurement, supply and demand planning, manufacturing, logistics, inventory, order management, and product lifecycle systems.
• Partner with Finance, Procurement, People, and Engineering teams to create trustworthy, auditable, single-source-of-truth datasets for supply chain operations.
• Drive integrations with upstream and downstream systems (Workday, ERP, Anaplan, Zip, Databricks).
• Ensure systems and processes are designed to support security, data governance, and regulatory requirements.
• Establish frameworks for change management, testing, and controls, enabling smooth releases and business continuity.
• Partner with business stakeholders to translate requirements into scalable, automated, and AI-enabled solutions.

Director, Supply Chain Systems

• Design and scale the infrastructure that powers large-scale multimodal training and evaluation
• Manage distributed data pipelines and harden pipelines powering Sora’s rapid iteration cycles
• Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security
• Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient
• Partner with researchers to deeply understand requirements and translate them into production-ready systems
• Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation

Software Engineer, Distributed Data Systems

• Own technical delivery across multiple government deployments, from first prototype to stable production
• Deeply embed with public sector customers to design and build novel applications powered by OpenAI models
• Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications
• Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact
• Proactively guide customers on maximizing business and operational value from their applications
• Forge and manage relationships with customer leadership and stakeholders to ensure successful deployment and scale
• Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality
• Contribute directly in the code when clarity or momentum depends on it
• Codify working patterns into tools, playbooks, or building blocks others can use
• Share field feedback with Research and Product to influence model and product development
• Keep teams moving through clarity, judgment, and consistent follow-through
• Travel up to 50% and participate in on-site customer engagements as required

Forward Deployed Engineer – Government

• Enhance employee technology services through automation, Infrastructure-as-Code (IaC), and workforce tooling.
• Optimize identity and access management (IAM) systems using OpenAI's models.
• Build applications, dashboards, intelligent Slack bots, and integrations for internal users.
• Design and implement secure, scalable, and performant workforce technology infrastructure and automation workflows.
• Build and maintain CI/CD pipelines deploying across multiple clouds (Azure, AWS, GCP).
• Support IAM processes by automating access provisioning and lifecycle management for internal applications.
• Collaborate with IAM and security teams to align automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and automated security policies.
• Work cross-functionally to identify and implement self-service solutions and manage multiple projects.

Software Engineer, Internal Applications

Solutions Engineer

About the Team: The Solutions Architecture 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 a Solutions Architect, you’ll help the largest 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 Role: We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.
This role is based in Sydney, Australia. 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: Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
Contribute to our open-source developer and enterprise resources.
Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

Solutions Architect

• Partner with customers to ensure they achieve tangible business value from OpenAI models via ChatGPT and the OpenAI API.
• Partner with senior business stakeholders to understand pre-sales needs, guide AI strategy, and identify high-value use cases.
• Demonstrate value through demos, discovery, use case scoping, and proofs of concept; recommend architectural patterns.
• Serve as first line for security and compliance questions and escalate complex requirements.
• Create and maintain documentation, guides, and FAQs from pre-sales interactions.
• Develop and nurture strong customer relationships during evaluation and purchasing.
• Represent the voice of the customer internally and collaborate with Sales and GRC teams for seamless pre-sales experience.

Research Engineer

• The Frontier Evals team builds north star model evaluations to drive progress towards safe AGI/ASI; this team builds ambitious evaluations to measure and steer our models, and creates self-improvement loops to steer training, safety, and launch decisions. Some of the team's open-sourced evaluations include SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer, and the team built and ran frontier evaluations for GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you.
• About you: We are seeking exceptional research engineers that can push the boundaries of our frontier models in the finance domain. We are looking for those who will help shape AI evaluations of financial reasoning and related capabilities, and will own individual threads within this endeavor end-to-end
• In this role, you'll: Identify important model capabilities, skills, and behaviors that are crucial to financial workflows, and design methods to quantify performance in these areas
• Own and pursue a research agenda to identify an important model capability (especially as it relates to financial reasoning) and build evals to measure it
• Continuously refine evaluations of frontier AI models to assess the extent of frontier capabilities
• We expect you to be: Have prior background / domain expertise in finance, especially investment banking or private equity, and a passion for these problems
• Detail-oriented and thorough
• Team player / willing to do a variety of tasks to move the team forward
• Passionate and knowledgeable about AGI/ASI measurement
• Strong engineering and statistical analysis skills
• Able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end
• It would be great if you also have: An ability to work cross-functionally
• Excellent communication skills

Research Engineer, Finance

Proposal Manager

• Pipeline Development: Partner with O4G GTM teams to identify, build, and maintain a multi-year pipeline of strategic opportunities.
• Capture Management: Lead the full capture lifecycle — from opportunity identification and qualification through win strategy, teaming, proposal, and award.
• Proposal Leadership: Own development of compliant, compelling proposals that clearly communicate OpenAI’s value, differentiators, and alignment with customer missions.
• Content Development: Write and edit proposal sections, weaving together inputs from subject matter experts into cohesive, persuasive narratives.
• Solutioning Support: Collaborate with technical and product teams to shape innovative AI-driven solutions and articulate win themes.
• Compliance & Quality: Ensure all responses meet solicitation requirements, government acquisition regulations, and OpenAI standards.
• Knowledge Management: Maintain and grow a proposal content library, enabling reuse and continuous improvement.
• Cross-Functional Collaboration: Work across sales, product, legal, and engineering to gather information, develop strategies, and deliver polished submissions.
• Continuous Improvement: Capture lessons learned and refine capture/proposal processes for greater effectiveness over time.

Capture and Proposal Lead

People Operations

• Maintain Workday data, and ensure that updates across the company are accurately reflected, including open positions, the creation of hire records and internal mobility.
• Respond to inquiries from employees and cross functional partners to ensure a positive experience, with a commitment to accuracy, compliance, and efficiency.
• Support global employee onboarding, including the bespoke needs of executives and acquisitions while prioritizing timeliness and data accuracy.
• Partner closely with Program owners, Workday Analysts / Engineers, Recruiting Ops, Finance, HRBPs, IT, Workplace Operations, Corporate Security, and others.
• Collaborate across the spectrum of People processes to ensure a holistic, interconnected system that delivers excellence across the employee lifecycle.
• Automate processes that involve human touchpoints and optimize processes that can’t be automated away to make them more efficient and resilient to error.
• Continuously measure and act to elevate metrics relating to employees’ experience.

People Ops Specialist, HR

• Manage full-cycle recruitment for Government-focused roles, including sourcing and hiring candidates with active U.S. security clearances, identifying talent needs, managing the recruitment process, and negotiating offers.
• Work directly with business leaders to understand departmental objectives and develop proactive hiring strategies that align with organizational goals.
• Ensure an outstanding candidate experience by representing OpenAI professionally and upholding our commitment to diversity and inclusion in all hiring practices.
• Collaborate with internal teams such as HR, Legal, and Compensation to ensure compliance and operational excellence throughout the recruitment lifecycle.
• Utilize advanced sourcing strategies and tools to attract and engage top-tier candidates, with a focus on enhancing diversity within our teams.
• Provide expert advice and support to hiring managers on best practices in interviewing, candidate evaluation, and employment branding.

Senior Recruiter, Government

• Own the end-to-end development and execution of tooling strategies across OAI hardware programs.
• Collaborate closely with product design, mechanical, and manufacturing teams to assess tooling needs early in the product lifecycle.
• Drive tooling concept reviews, DFM evaluations, and design optimization for cost, reliability, and manufacturability.
• Lead technical engagement with external tooling partners, ensuring alignment on quality, delivery, and performance expectations.
• Manage tooling schedules and deliverables to meet aggressive product timelines.
• Oversee tooling validation processes, including functional testing, durability evaluation, and refinement based on production feedback.
• Contribute to internal design and manufacturing standards, and elevate the organization’s tooling maturity and capabilities.
• Mentor junior engineers and collaborate cross-functionally to de-risk complex hardware programs.

Hardware Tooling Engineer

General Counsel

• Be the go-to counsel and partner for several teams focused on AI research and consumer product development related to ChatGPT search and shopping experiences
• Identify and address product, regulatory, privacy, and other legal risks and mitigations, including copyright, consumer protection, and digital marketplace compliance
• Develop strategies for handling legal issues in creative ways and build processes for scaling flexible solutions that address risk
• Become an expert in AI legal matters and help propose and advance AI legal policy positions
• Based in San Francisco, CA with a hybrid work model of 3 days in the office per week and relocation assistance to new employees