AI Insights
NVIDIA

Senior PCIe Post-Silicon Validation Engineer

NVIDIA · Santa Clara, California, US
full-timesenior (5-12 yrs)Posted 20d ago
Hardware/Silicon EngineeringIC3ICHybrid (3d)
StackPythonPerlPCI ExpressSATAUSBVCSDebussyGDBLogic AnalyzersOscilloscopesPost-Silicon ValidationASIC VerificationTestplan DevelopmentSilicon DebugBus Protocol Verification

Summary

NVIDIA is seeking a Senior Post-Silicon Validation Engineer to validate PCIe and related silicon features using lab equipment, scripting, and cross-functional collaboration across ASIC, SW, and System teams in a hybrid work environment.

About the role

We are now looking for a Senior Post-Silicon Validation Engineer to join our team!
 

NVIDIA has continuously reinvented itself over the past 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. This position offers the opportunity to have real impact in a multidimensional, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted an outstanding team of people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. This is a dynamic team working with innovative, outstanding technology. If you are someone that loves a challenge, come join this complementary team and help move the needle!
 

What you'll be doing:

  • You'll implement the design the industry’s leading processor for deep learning, gaming, and dedication computing.

  • Responsible for validation of features on Silicon using hands-on lab equipment like logic analyzers etc.

  • Responsible for understanding the design and implementation, define the validation scope, develop the post-silicon verification infrastructure (Testplans, Tests, Scripts to analyze data), implement test/coverage plans and validate correctness of the design.

  • You will be working multi-functionally with ASIC, SW and System teams to accomplish your tasks.
     

What we need to see:

  • BS or MS in EE, ECE, CS or equivalent experience.

  • 5+ years of meaningful validation experience.

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

  • Experience with bus protocol (e.g. PCI Express, SATA, USB) or interconnect verification is preferred.

  • Background with lab equipment, oscilloscopes and logic analyzers is helpful.

  • Expertise in Python and/or Perl.

  • Strong debugging and analytical skills.

  • Good interpersonal skills and ability & desire to work as a standout colleague are a must.

  • Proven record to work multi-functionally and drive issues to closure

#LI-Hybid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

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

What you'll do

1Implement and validate design of industry-leading processors for deep learning, gaming, and dedicated computing
2Validate features on silicon using hands-on lab equipment including logic analyzers and oscilloscopes
3Understand design and implementation; define validation scope and develop post-silicon verification infrastructure
4Create testplans, develop tests, and write scripts to analyze silicon data
5Implement test and coverage plans and validate correctness of silicon design
6Collaborate cross-functionally with ASIC, Software, and System teams to accomplish validation tasks and drive issues to closure

Requirements

5+ years of hands-on post-silicon validation experience including testplan creation, test development, and silicon debug
Proficiency in Python and/or Perl for scripting and data analysis automation
Experience with bus protocols such as PCI Express, SATA, or USB for interconnect verification
Hands-on lab experience with oscilloscopes, logic analyzers, and related debug hardware
Ability to work cross-functionally with ASIC, Software, and System teams to drive issues to closure

Nice to have

PCI Express
SATA
USB
Debussy
GDB
Logic Analyzers
Oscilloscopes

Role overview

Role family
Hardware/Silicon Engineering
Level
IC3 — qa_testing
Experience
5–12 years
Type
Individual Contributor
Remote policy
Hybrid (3 days)
Visa sponsorship
Not offered

Tech stack analysis

LANGUAGES
PythonPerl
TOOLS
VCSDebussyGDBLogic AnalyzersOscilloscopes

Green flags

6 items
Salary range is explicitly disclosed ($136K–$264.5K) with two leveling bands, demonstrating pay transparency above industry norm.compensation

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Benefits breakdown

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Hiring insights

JD quality
7/10
Urgency
medium
Autonomy
high
Team size
medium (5-15)

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Red flags

PRO3 items
Typo in the posting ('multi-functionally' used twice, '#LI-Hybid' misspelled) suggests limited editorial quality control.requirements

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Interview insights

PRO
Rounds
5
Duration
4 wks
Difficulty
hard
Take-home
No

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Career path

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Next roles
Staff Post-Silicon Validation EngineerPrincipal Silicon EngineerValidation Engineering Manager

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About the company

NVIDIA is the world's leading designer of GPUs and AI computing platforms. Its chips power everything from gaming and data centers to autonomous vehicles and scientific research. With a market cap exceeding $2 trillion, NVIDIA's CUDA platform and AI accelerators have become the backbone of the global AI revolution.

HQSanta Clara, CA, USA
Interview difficultyhard
Build vs Maintainbuild
Cross-functionalYes