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.
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.Skills Required
- Bachelor's degree or higher in Engineering, Computer Science, or related technical field, or equivalent experience
- 20+ years experience in semiconductor engineering, production diagnostics, DFT, test, silicon debug, FA, or yield learning
- 12+ years of technical leadership and people management experience, including building new engineering capabilities and scaling teams
- Deep expertise in ATPG diagnostics, memory diagnostics, production test data, diagnostic automation, and high-volume production debug or yield-learning flows
- Demonstrated creation and ownership of high-volume production diagnostics infrastructure for advanced-node technologies or complex SoCs
- Proven ability to influence diagnostic-friendly design and DFT practices, including test content and observability/debug hooks
- Experience connecting diagnostic signatures to physical defect mechanisms, FA outcomes, foundry feedback, and measurable yield improvement
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”









