Distinguished Engineer, Production Silicon Diagnostics

Posted 11 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
272K-426K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead strategy and execution for production silicon diagnostics (ATPG, memory), building scalable diagnostics platforms, automation, and multi-functional operating models to accelerate yield learning, failure analysis, and product ramp for advanced-node technologies.
Summary Generated by Built In

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.

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.

  • 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.
  • 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.
  • 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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

Similar Jobs

Hybrid
San Francisco, CA, USA
897 Employees
166K-227K Annually

Shield AI Logo Shield AI

Senior Engineer

Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
In-Office
San Diego, CA, USA
110K-170K Annually

GC AI Logo GC AI

Head of Pre-Sales & Solutions

Artificial Intelligence • Legal Tech
In-Office or Remote
2 Locations
100 Employees

PwC Logo PwC

Conversational AI and Agentic AI - Manager

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
21 Locations
370000 Employees
99K-232K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account