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)