OpenAI is seeking a Product Quality Engineer to drive technical initiatives related to the quality and reliability of AI supercomputer hardware systems. This role is part of the Compute team, which works on designing AI supercomputers and collaborates with partners to optimize hardware for AI workloads.
Key Responsibilities:
- Lead product quality strategy and process for next-gen AI hardware system development
- Establish NPI product quality control process
- Design and execute comprehensive quality assurance plans and testing protocols
- Use advanced data analytics for key quality metrics
- Lead failure analysis and corrective actions
- Collaborate with suppliers to ensure quality standards
- Conduct supplier and JDM/CM quality control audits
- Manage overall product quality process development
- Communicate with cross-functional teams
The ideal candidate will have:
- Experience leading complex projects from concept to production
- Strong problem-solving skills and attention to detail
- Knowledge of industry trends in high-performance computing systems
- Familiarity with Design For Quality (DFQ), Excellence (DFX), Manufacturability (DFM), Test (DFT), and Reliability (DFR)
- Experience working with multinational JDM/CM vendors
This role offers the opportunity to work at the intersection of cutting-edge deep learning, hardware systems, and data center design. The position is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers competitive compensation, including equity, and comprehensive benefits.
Join OpenAI in shaping the future of AI technology and ensuring its benefits are widely shared.