Product Manufacturing Engineer - PCBA

ABOUT THE TEAM OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of 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. ABOUT THE ROLE We’re looking for a Product Manufacturing Engineer to drive manufacturing strategy and execution for next-generation AI hardware within the Silicon & Systems team, with a particular focus on PCBA manufacturing, assembly, process development, and production readiness. You will work closely with design engineering, systems engineering, operations, TPMs, contract manufacturers, suppliers, and other external partners to ensure new hardware products successfully transition from concept and prototype builds through NPI and high-volume production. You’ll own critical manufacturing initiatives, identify and resolve production risks, and help establish the processes and controls required to deliver complex hardware at scale. This role is based in San Francisco, CA. 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: - Drive manufacturing and quality initiatives to ensure product success from concept and early development through NPI, production launch, and scale. - Lead manufacturing process development for next-generation AI hardware systems, partnering closely with design engineering, systems engineering, operations, TPMs, suppliers, and manufacturing partners. - Own PCBA manufacturing development and production readiness, including assembly processes, process validation, manufacturing test, rework, yield improvement, and successful transition into volume production. - Establish NPI manu

Department: Scaling; Team: Hardware