
Technical Program Manager, Compute Infrastructure
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Job description
About the Position
Technical Program Manager, Compute Infrastructure
OpenAI is seeking a Technical Program Manager for Compute Infrastructure to oversee large-scale GPU clusters and ensure safe, responsible AI deployment.
Location
- City: San Francisco
- Country: United States
- Remote: No
Employment Type
- Type: Full-time
- Work Location Type: Hybrid
Compensation
- Salary Range: $257K – $335K
- Currency: USD
- Period: Year
Responsibilities
- Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference.
- Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling-owning plans, dependencies, and critical paths.
- Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams.
- Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale.
- Partner with engineering to improve cluster turn-up reliability, repeatability, and automation, reducing time-to-serve for new capacity.
- Support network operations and end-to-end physical and logical bring-up of OpenAI network Points-of-Presence (PoPs), including on-site deployment, rack cabling, and close collaboration with engineering teams.
- Coordinate cross-functional readiness (security, finance, operations, product/research stakeholders) to ship production-ready compute.
- Manage integration and handoffs across teams and partners-ensuring consistent execution, clear communication, and fast issue resolution.
- Identify bottlenecks and systemic gaps, then drive durable fixes across tooling, process, and partner interfaces.
- Provide crisp executive visibility on progress, tradeoffs, and risks across a large portfolio of concurrent programs.
Requirements
-
Core Skills:
- Program management
- Engineering expertise
- Cross-functional team management
- Complex project delivery
- Technical acumen
- Process design
- Dependency management
-
Secondary Skills:
- Risk management
- Communication
- Executive visibility
- Logistics management
- Scalable process design
About the Team
The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads.
About the Company
OpenAI 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.
We Offer
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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