Enterprise, Production Application Engineer

NVIDIA is looking for a highly motivated and detail-oriented Production Application Engineer to join our team. In this key role, you will serve as the primary interface with 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:

• Lead debug test configuration and flow, driving efficient failure analysis (FA) and issue triage.(e.g., manufacturing defects, yield issues, bonepile recovery)

• Assist partners in achieving Production Key Performance Indicators (KPIs).

• Oversee L6, L10 & L11 server production readiness.

• Drive and validate ODM production readiness for L10 and L11 phases.

• Serve as the primary technical point of contact for ODMs on L10 and L11 Production.

What we need to see:

• Bachelor's degree in Electrical Engineering, Computer Science, Industrial Engineering, or a related field.

• 5+ years of experience in a hardware system engineering, production engineering or manufacturing engineering role.

• Strong understanding of manufacturing processes, including assembly, test, and quality control.

• Excellent problem-solving skills and a methodical approach to root cause analysis.

• Strong communication, interpersonal, and presentation skills.

• Ability to work independently and manage multiple priorities in a dynamic, high-pressure environment.

• Strong English verbal and written proficiency.

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)