Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $302K – $445K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits include:
- 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
- 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
About the Team
The Hardware team owns the design and/or sourcing of the compute, storage and interconnect hardware needed to build OpenAI’s supercomputers at the scale needed to deliver AGI that is beneficial to humanity. This includes optimizing the processing hardware for AI models, designing memory systems, and enabling the scale-up and scale-out interconnect fabrics.
About the Role
As a Hardware Chips Programs Manager at OpenAI, you will help bring our chips hardware roadmap to life, navigating an array of technical and partnership challenges. This role is based in San Francisco, CA, and uses a hybrid work model of 3 days in the office per week.
Responsibilities
- Manage the design and implementation planning of our ML acceleration hardware, working across technical, cross-functional and external stakeholders
- Lead planning and scheduling of chip hardware designs with our strategic partners and vendors
- Coordinate and marshal internal resources and communication for efficient interaction with partners and vendors
Requirements
- Experience as a technical program manager for data center hardware products
- Knowledge of the whole end-to-end system program management from concept, design, production, deployment into the data center
- Experience with System SW programs through NPI
- Passion for designing large supercomputing systems and working at the edge of complex hardware challenges
- Enjoy working with and enabling world-class AI Researchers and Engineers
- Passionate about the technical program function, and enjoy independently owning and delivering on your teams’ goals and cutting-edge problems in AI compute