Lead Post-Silicon Validation Engineer

NVIDIA is hiring a Lead Post-Silicon Validation Engineer in Santa Clara, United States. It pays $200k-$322k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a lead role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

How we rate this

Lead Post-Silicon Validation Engineer at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.