NVIDIA

Production Application Engineer, Enterprise

NVIDIA  •  Hsinchu, TW (Onsite)  •  2 hours ago
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Job Description

The world’s next technological breakthroughs—from trillion-parameter AI models to autonomous systems—are defined not only by chip design, but by the ability to manufacture and deliver advanced computing infrastructure at unprecedented scale. NVIDIA is looking for a highly motivated and detail-oriented Production Application Engineer to join Nvidia. In this pivotal role, you will serve as the primary interface with ODM/JDM partners, owning all GPU/CPU server–related aspects of L6, L10 and L11 production—from build readiness evaluations and pilot runs through mass-production shipments, ensuring KPIs are met and driving continuous yield and process improvements at every milestone.

What you’ll be doing:

  • Production Milestone Ownership — Drive build readiness reviews and own the manufacturing checklist sign-off at each milestone gate with ODM/JDM partners.
  • Yield Analysis & Improvement — Monitor L6/L10/L11 first-pass yield (FPY), identify top loss contributors, and drive corrective actions to closure.
  • Debug & Failure Analysis — Lead debug triage and coordinate cross-functional FA efforts across cross-function teams for manufacturing defects, bonepile recovery, and field returns.
  • Internal Production Lead — Lead NVIDIA internal build activities, coordinating cross-functional resources to ensure on-time delivery and production quality targets are met.
  • Cross-Functional Technical Interface — Serve as the primary point of contact between NVIDIA internal teams and ODM/JDM partners on all L6, L10, and L11 production topics.

What we need to see:

  • Bachelor’s degree in Electrical Engineering, Product Engineering, Industrial Engineering, Mechanical Engineering, or a related field.
  • 5+ years of experience in hardware system engineering, production engineering, manufacturing engineering, or a related role.
  • Strong understanding of server manufacturing processes, including module assembly (L6), system integration (L10), rack integration (L11), test, and quality control.
  • Excellent problem-solving skills with a methodical approach to root cause analysis and failure analysis triage.
  • Strong communication and interpersonal skills — able to represent NVIDIA in cross-functional and cross-company technical discussions.

Ways to stand out from the crowd:

  • Hands-on experience in datacenter/GPU server production engineering, including AOI inspection, connector assembly validation, or thermal solution integration.
  • Experience with manufacturing readiness reviews, production checklists, and signoff processes at scale.
  • Familiarity with rack-scale liquid cooling systems, high-speed interconnect (NVLink/NVSwitch), and HBM/SOCAMM memory technologies.
  • Willingness and ability to travel to ODM/JDM factory sites (domestic and international).
  • Excellent teamwork skills to collaborate effectively across cross-functional teams hardware, firmware, diagnostics, and quality engineering.
NVIDIA

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Industry
Hardware & Semiconductors
Company Size
10,000+ employees
Headquarters
Santa Clara, CA
Year Founded
1993
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