NPI Product Engineer - AI Compute Hardware
Core
Technical bridge between engineering and manufacturing for next-generation AI compute infrastructure (chips, trays, racks) moving from design to production.
Role type
Senior NPI Product Engineer (AI Compute Hardware)
Builds
AI chips, compute trays, and rack-scale platforms for large-scale LLM training and inference
Domain
AI Hardware / Data Center Infrastructure
Deliverable
production ML models | product features
Required skills
NPI lifecycle management (EVT/DVT/PVT), JDM/ODM partner management, DFM/DFT/DFA analysis, product validation and qualification planning, defect root cause analysis, BOM and ECO management, PLM tools proficiency
Preferred skills
High-power AI accelerators/GPU servers experience, liquid cooling qualification, OCP Open Rack platform knowledge, IPC standards familiarity, JTAG/ICT/boundary scan, statistical process control, reliability engineering (FMEA/ALT)
Technologies
Arena, Agile, JTAG, ICT, boundary scan
Responsibilities
Own product NPI from EVT through DVT and PVT, lead first article inspections and qualification reviews, define product requirements and acceptance criteria, develop validation and qualification plans, analyze defect trends and drive yield improvement, manage product-level ECOs, maintain NPI documentation
Seniority
Senior, hands-on IC