Product Development Engineer: NPI & Wafer Yield Lead

NVIDIA Corporation

Santa Clara (CA)

Vor Ort

USD 136.000 - 259.000

Vollzeit

14 Tage+
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Zusammenfassung

NVIDIA, a leader in AI and accelerated computing, seeks a Product Development Engineer to drive new product development from concept through mass production. You’ll work across cross-functional teams, own NPI, wafer sorting, yield analysis, and develop PDE methodologies to ensure top-tier quality and performance.

The role emphasizes collaboration with R&D, manufacturing, and QA, along with maintaining extensive technical documentation, specs, and test plans; prior AI/ML or GPU experience is a

Qualifikationen

  • Bachelor’s or Master’s degree in Engineering, CS, or related field.
  • 5+ years in product development with NPI, wafer sorting, and yield analysis.
  • Proficiency in CAD software, JMP for statistics, and hands-on ATE (Advantest V93000).
  • Strong knowledge of manufacturing processes and the product rollout process.
  • Excellent problem solving and multi-project management.
  • Excellent communication and cross-functional collaboration.
  • Experience with AI, ML, or GPU tech is preferred.

Aufgaben

  • Lead development, creation, and production of new products.
  • Oversee the NPI process from prototype to mass production including wafer sorting and yield analysis.
  • Collaborate with Foundry, R&D, manufacturing, and QA teams.
  • Develop and maintain technical documentation, specs, and test plans.
  • Build PDE methodology infrastructures to support manufacturing and ensure high-quality outputs.

Kenntnisse

NPI expertise
Wafer sorting
Yield analysis
PDE methodology
GPU technologies
AI / ML understanding
Cross-functional collaboration
Problem solving

Ausbildung

Bachelor’s or Master’s in Engineering/CS

Tools

CAD software
JMP
Advantest V93000

Jobbeschreibung

NVIDIA, a leader in AI and accelerated computing, seeks a Product Development Engineer to drive new product development from concept through mass production. You’ll work across cross-functional teams, own NPI, wafer sorting, yield analysis, and develop PDE methodologies to ensure top-tier quality and performance.

The role emphasizes collaboration with R&D, manufacturing, and QA, along with maintaining extensive technical documentation, specs, and test plans; prior AI/ML or GPU experience is a

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