Design For Productization Engineer – Manufacturing

Nvidia Corporation

CA, United States
Base: 168,000 usd - 310,500 usd; bonus/equity: equ...
On-site
End-to-end manufacturing test methodology
Translate product requirements to test flows
Define dfp roadmap and infrastructure
Nvidia is seeking a Design For Productization Engineer in Manufacturing, responsible for defining and implementing testing methodologies for new silicon features in high-volume manufacturing. The ideal candidate will possess strong technical expertise in post-silicon validation, cross-functional collaboration, and proficiency in data analysis and scripting

Job Summary

  • The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows.
  • This role sits at the intersection of multiple cross-functional teams to make manufacturing test a first‑class part of the overall codesign and DFP lifecycle.
  • You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and throughput at scale.

Matching Summary

Match Score: 85

Nvidia is seeking a Design For Productization Engineer in Manufacturing, responsible for defining and implementing testing methodologies for new silicon features in high-volume manufacturing. The ideal candidate will possess strong technical expertise in post-silicon validation, cross-functional collaboration, and proficiency in data analysis and scripting.

Salary

Base: 168,000 USD - 310,500 USD; Bonus/Equity: Equity eligible; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • End-to-end manufacturing test methodology
  • Translate product requirements to test flows
  • Define DFP roadmap and infrastructure
  • Cross-functional partnership for test implementation
  • Drive alignment on manufacturability and cost
  • Embed testability into design
  • Define data analytics for yield analysis
  • Lead DFP documentation and learnings

Nice-to-have

  • Integrate AI tools into workflows
  • Use AI to accelerate documentation and development
  • Build AI-assisted validation and debug workflows
  • Share AI-driven best practices

Key Requirements

  • MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 6+ years in silicon post-silicon validation and/or high-volume manufacturing test
  • Hands-on experience with test content bring-up and yield optimization
  • Proficiency with scripting and data analysis (Python, MATLAB, R, SQL)
  • Demonstrated ability to drive cross-functional alignment
  • Excellent communication skills and technical document authoring
  • Strong AI-enabled skills and thinking
  • Prior ownership of manufacturing test strategy for a major silicon product

Work Rights

Not specified

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