Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
GPU
Machine Learning
Networking @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.
As a Hardware Chips Programs Manager, you will help bring the chips hardware roadmap to life while navigating technical and partnership challenges. You will work across technical, cross-functional, and external stakeholders to support the development of ML acceleration hardware.
This role is based in San Francisco, California. OpenAI uses a hybrid work model requiring three days in the office per week.
Responsibilities
- Manage the design and implementation planning of ML acceleration hardware.
- Lead planning and scheduling of chip hardware designs with strategic partners and vendors.
- Coordinate internal resources and communication to enable efficient interaction with partners and vendors.
Requirements
- Experience as a technical program manager for data center hardware products, such as servers, GPUs, TPUs, networking, or storage.
- Knowledge of end-to-end system program management, from concept and design through production, deployment, and data center operations.
- Experience with system software programs through new product introduction (NPI).
- Interest in designing large-scale supercomputing systems and working on complex hardware challenges.
- Ability to work effectively with AI researchers and engineers.
- Passion for technical program management and independently owning and delivering team goals and cutting-edge AI compute initiatives.
- Candidates may need to meet certain legal status requirements under U.S. export control laws and regulations.
Benefits
- Equity, performance-related bonuses for eligible employees, and relocation support for eligible employees.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax flexible spending and commuter accounts.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Additional benefits may include charitable donation matching and wellness stipends.
OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.