SeniorFull TimeEN
NVIDIA is looking for a highly motivated and detail-oriented Principle Production Application Engineer to join our team. In this key role, you will serve as the primary interface with contract manufacturers(CM) and Original Design Manufacturers (ODMs) partners, managing all GPU server-related aspects of the L6, L10, and L11 production phases. You will take ownership from initial production line evaluations through to final production shipments—ensuring production KPIs are met, driving problem-solving efforts, and leading continuous process improvements at every major milestone.
What you'll be doing:
Own NPI builds from early engineering through ramp, ensuring smooth handoff to high‑volume production at contract manufacturers.
Lead debug test configuration and flows, driving efficient FA and fast issue triage for manufacturing defects, yield issues, and bonepile recovery.
Act as the primary technical leader for ODMs and contract manufacturers on L6, L10 and L11, covering production readiness, line setup, test, and yield.
Work closely with internal HW/FW/SW and validation teams to track and close critical bugs quickly, ensuring designs are manufacturable (DFM/DFT).
Be on‑site at factories as needed, coordinating with manufacturing teams to resolve issues in real time and help partners meet key production KPIs.
What we need to see:
Bachelor’s degree in EE, CS, Industrial/Manufacturing Engineering, or related field.
5+ years in hardware system, production, manufacturing, or datacenter product engineering.
Strong experience working with ODMs/contract manufacturers on NPI and mass production.
Solid understanding of assembly, test, and quality processes, and how they affect yield.
Excellent problem‑solving and root cause analysis skills, with clear technical communication in English (spoken and written).
Ways to stand out from the crowd:
Hands-on experience in datacenter product engineering, failure analysis, debugging, or GPU server design.
Proven track record in managing production schedules at factories and monitoring yield rates.
Willingness and ability to travel internationally.
Excellent communication and teamwork skills to collaborate effectively across cross-functional teams.
Knowledge of Failure Mode and Effects Analysis (FMEA) // Root Cause Analysis (RCA) // Design of Experiments (DOE)
