Demo

Lead Post-Silicon Validation Engineer

NVIDIA AI
Santa Clara, CA Full Time
POSTED ON 5/13/2026
AVAILABLE BEFORE 6/10/2026
Job Requisition ID

JR2017357

Job Category

Engineering

Time Type

Full time

We are seeking Lead Post-Silicon Validation Engineer within the GPU Engineering Team to help drive development of future GPUs be used in 3D graphics, deep learning, HPC and automotive markets. Make the choice to join our dynamic team today!

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence!

What You'll Be Doing

  • In this role, you will manage and help lead post-silicon bringup, characterization, and productization of the memory system for NVIDIA's GPU products.
  • Develop, qualify, and work on compliance of memory system software and firmware.
  • You will be the primary contact for customers internal and external, and DRAM vendors for silicon issues relating to memory.
  • Contribute through the GPU development cycle from concept, Plan of Record, Architecture, Micro-architecture, design, validation, physical design and tape out.

What We Need To See

  • Bachelors or Masters in Electrical Engineering, Computer Engineering or related fields (or equivalent experience)
  • 12 years of proven experience with three years and working with memory systems in the lab.
  • Direct experience in taking an SOC/GPU from concept level to production.
  • Experience in DRAM, high speed DRAM Interfaces like HBM, GDDR and LPDDR and their timing, analog, and digital requirements.
  • In Pre-Silicon phase, work with the design and verification teams to define features required for smooth bringup and productization.
  • In Post-Silicon phase, bring the GPU from initial power-on through production.
  • Ability to understand the Top N issues in a myriad of data.
  • Ability to facilitate and make decisions looking at all the spokes in a decision wheel.
  • Excellent written, verbal and technical communications.

Ways To Stand Out From The Crowd

  • Experience in working with DRAM vendors to debug post-silicon issues and drive solutions.
  • Proven record of implementing processes and methodologies.
  • System C or C development skills, or relevant programming experience.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Salary.com Estimation for Lead Post-Silicon Validation Engineer in Santa Clara, CA
$246,106 to $292,422
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Lead Post-Silicon Validation Engineer?

Sign up to receive alerts about other jobs on the Lead Post-Silicon Validation Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$205,834 - $254,869
Income Estimation: 
$150,467 - $192,499
Income Estimation: 
$149,289 - $190,988
Income Estimation: 
$97,457 - $126,589
Income Estimation: 
$176,972 - $219,172
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at NVIDIA AI

  • NVIDIA AI Seattle, WA
  • Job Requisition ID JR2018074 Job Category Engineering Time Type Full time You will join the team responsible for building the foundational user experience ... more
  • 1 Day Ago

  • NVIDIA AI Austin, TX
  • Job Requisition ID JR2018478 Job Category Sales Time Type Full time Would you like to be a part of one of the most exciting companies in technology? For mo... more
  • 1 Day Ago

  • NVIDIA AI Santa Clara, CA
  • Job Requisition ID JR2013295 Job Category Engineering Time Type Full time We are seeking a System Software Engineer to work on next-generation computing an... more
  • 1 Day Ago

  • NVIDIA AI Santa Clara, CA
  • Job Requisition ID JR2012602 Job Category Engineering Time Type Full time Join the NVIDIA's Solutions Engineering team that is reshaping the future of driv... more
  • 1 Day Ago


Not the job you're looking for? Here are some other Lead Post-Silicon Validation Engineer jobs in the Santa Clara, CA area that may be a better fit.

  • Jobs via Dice Santa Clara, CA
  • Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ztek Consulting, is seeking the following. Apply via D... more
  • 17 Days Ago

  • Marvell Technology Santa Clara, CA
  • About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cl... more
  • 15 Days Ago

AI Assistant is available now!

Feel free to start your new journey!