NVIDIA

NVIDIA

Posted via Workday

Distinguished Engineer, Production Silicon Diagnostics

Posted Aug 5, 2026

Role at a glance

Salary
$272K – $425.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
20+ overall years of experience in semiconductor engineering, production diagnostics, DFT, test, silicon debug, FA, yield learning, or...
Education
Bachelor's degree or higher in Engineering, Computer Science, or a related technical field, or equivalent experience

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Role Summary

AI-generated

The Distinguished Engineer of Production Silicon Diagnostics will lead NVIDIA’s production ATPG and memory diagnostics strategy. The role focuses on building a scalable diagnostics system that supports yield and reliability learning, failure analysis, root-cause identification, and product ramp across design, DFT, test, product engineering, FA, yield, foundry, and EDA partners.

What You'll Do

  • Define and lead NVIDIA’s production diagnostics strategy for ATPG and memory diagnostics.
  • Establish a multi-functional operating model across design, DFT, test, product engineering, FA, yield, foundry, and EDA partners.
  • Drive advanced diagnostic capabilities for next-generation product ramps, including products using backside power technology.
  • Standardize and automate end-to-end diagnostics flows to improve repeatability, efficiency, diagnostic quality, and time-to-root-cause.
  • Connect diagnostic signatures, failure classifications, physical FA results, product learning, and foundry feedback into a closed-loop...
  • Build diagnostic-friendly design and DFT practices and connect prototype methods and debug techniques to the production diagnostics...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor's degree or higher in Engineering, Computer Science, or a related technical field, or equivalent experience; 20+ years of experience in semiconductor engineering or related post-silicon subject areas; 12+ years of technical leadership and people management experience; deep expertise in ATPG diagnostics, memory diagnostics, production test data, diagnostic automation, and high-volume production debug or yield-learning flows.

Required

  • Bachelor's degree or higher in Engineering, Computer Science, or a related technical field, or equivalent experience
  • 20+ overall years of experience in semiconductor engineering, production diagnostics, DFT, test, silicon debug, FA, yield learning, or...
  • 12+ years of technical leadership and people management experience
  • Deep expertise in ATPG diagnostics, memory diagnostics, production test data, diagnostic automation, and high-volume production debug or...

Preferred

  • End-to-end creation and ownership of high-volume production diagnostics infrastructure for advanced-node technologies, complex SoCs, or...
  • Deep understanding of how design, DFT, test, diagnostics, FA, yield, foundry, and analytical workflows connect to accelerate yield...
  • Track record to influence diagnostic-friendly design and DFT practices, including test content, observability, controllability, debug...
  • Experience connecting diagnostic signatures to physical defect mechanisms, FA outcomes, foundry learning, and measurable production...

Original job description

Content provided by the employer

We are seeking a Distinguished Engineer of Production Silicon Diagnostics to elevate production ATPG and memory diagnostics into an outstanding production system for yield learning, failure analysis (FA), and product ramp! This role will define and drive the strategy, methodology, platform integration, team structure, and multi-functional operating model required to make diagnostics a central engine for silicon learning.

This role is especially significant as we introduce products into advanced process technologies, including backside power delivery, where traditional debug, defect localization, and physical FA workflows become increasingly sophisticated! The ideal candidate brings deep expertise in production diagnostics, DFT, test, FA, yield/reliability learning, automation, and multi-functional technical leadership.

What You'll Be Doing

  • Define and lead the strategy for NVIDIA’s production diagnostics, covering ATPG and memory diagnostics, with an emphasis on yield/reliability learning, ramp acceleration, FA efficiency, and production scalability

  • Establish the multi-functional operating model required to make diagnostics a scalable capability across design, DFT, test, product engineering, FA, yield, foundry, and EDA partners

  • Drive advanced diagnostic capabilities for next-generation product ramps, including backside power technology, where physical debug, defect localization, and yield learning are increasingly complex

  • Standardize and automate end-to-end diagnostics flows to improve repeatability, efficiency, diagnostic quality, and time-to-root-cause

  • Connect diagnostic signatures, failure classifications, physical FA results, product learning, and foundry feedback into a closed-loop production yield-learning system

  • Build diagnostic-friendly design and DFT practices while connecting prototype methods and sophisticated debug techniques into our production diagnostics platform

What We Need to See

  • Bachelor's degree or higher in Engineering, Computer Science, or a related technical field, or equivalent experience

  • 20+ overall years of experience in semiconductor engineering, production diagnostics, DFT, test, silicon debug, FA, yield learning, or related post-silicon subject areas

  • 12+ years of technical leadership and people management experience, including building new engineering capabilities, mentoring senior technical talent, and scaling high-impact teams

  • Deep expertise in ATPG diagnostics, memory diagnostics, production test data, diagnostic automation, and high-volume production debug or yield-learning flows

Ways to Stand Out from the Crowd

  • Demonstrated end-to-end creation and ownership of high-volume production diagnostics infrastructure for advanced-node technologies, complex SoCs, or advanced semiconductor products

  • Deep understanding of how design, DFT, test, diagnostics, FA, yield, foundry, and analytical workflows connect to accelerate yield learning and address performance, reliability, and quality challenges

  • Proven track record to influence diagnostic-friendly design and DFT practices, including test content, observability, controllability, debug hooks, and silicon learning requirements

  • Experience connecting diagnostic signatures to physical defect mechanisms, FA outcomes, foundry learning, and measurable production yield improvement

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.