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Overview
Join OpenAI as a Product Manufacturing Engineer to drive manufacturing strategy for next-gen AI hardware, focusing on PCBA manufacturing and production readiness. 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.
What you'll do
- •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 manufacturing processes, systems, quality controls, milestones, and deliverables across internal teams and external manufacturing partners.
- •Provide hands-on manufacturing engineering support during design, development, prototype, validation, and production phases.
- •Partner with engineering teams to assess manufacturability, identify production risks, and incorporate manufacturing requirements early in the product development lifecycle.
- •Drive root-cause analysis and corrective actions for manufacturing, assembly, test, yield, and quality issues.
- •Research and develop manufacturing automation, test methodologies, tooling, and processes that improve quality, throughput, and efficiency.
- •Develop and manage manufacturing requirements, schedules, readiness criteria, and deliverables across engineering teams, TPMs, suppliers, contract manufacturers, and other key stakeholders.
- •Drive manufacturing readiness reviews and ensure products meet quality, reliability, yield, and production requirements before ramp.
- •Communicate effectively across cross-functional teams and external partners to ensure successful execution of complex hardware programs.
- •Perform risk assessment, mitigation, and change management throughout the product lifecycle.
- •Manage multiple hardware programs and manufacturing workstreams simultaneously while ensuring critical milestones and standards are met.
Conditions
- •Hybrid work model of 3 days in the office per week.
- •Relocation assistance to new employees.
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