AI Insights
NVIDIA

Verification Engineer, Low Power

NVIDIA · Santa Clara, California, US
full-timemid (2-6 yrs)Posted 31d ago
Hardware EngineeringIC2ICHybridVisa Sponsored
StackSystemVerilogUPFCPFVCLPMVRCNLPMVSIMVCSVerdiPythonPerlC++Clock GatingPower GatingDVFSMulti-VTVLSIFunctional VerificationAssertion-Based VerificationCoverage-Driven Verification

Summary

NVIDIA is seeking a Verification Engineer specializing in Low Power to work on structural and functional verification of low power aspects of their GPU chips, including test planning, test case development, and cross-functional collaboration with design, architecture, and silicon validation teams.

About the role

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

What you’ll be doing:

  • Work on structural and functional verification of low power aspects of NVIDIA’s family of chips.

  • Come up with test plans and coverage plans of these features.

  • Write test cases, test bench components like assertions and coverage points, and own verification convergence.

  • Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects.

  • Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.

  • Validate the effectiveness of the low power features on silicon.

What we need to see:

  • BS/MS or equivalent experience with specialization related to Low Power techniques and Verification.

  • 2+ years of experience.

  • Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits.

  • Knowledge of power intent formats - UPF/CPF.

  • Experience in Static Power check - tools like VCLP/MVRC or similar.

  • Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools.

  • Experience in design and verification tools (VCS or equivalent simulation tools, Verdi or other debug tools).

  • Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).

Ways to stand out from the crowd:

  • Good software programming skills. Python/Perl/C++ preferred.

  • Confident debugging and problem-solving skills.

  • Good communication skills and ability & desire to work as a great teammate.

With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

What you'll do

1Work on structural and functional verification of low power aspects of NVIDIA's chips
2Develop test plans and coverage plans for low power features
3Write test cases, testbench components including assertions and coverage points
4Own verification convergence for low power features
5Collaborate with system-level and unit-level teams to cover functional, electrical, performance, and noise aspects
6Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing, and back-end teams
7Validate the effectiveness of low power features on silicon

Requirements

2+ years of experience in low power verification including power intent formats (UPF/CPF) and static power checks
Fundamental understanding of VLSI power basics including transistor-level leakage and dynamic characteristics
Hands-on experience with power-aware dynamic verification tools such as NLP/MVSIM or equivalents
Proficiency with industry-standard simulation and debug tools such as VCS and Verdi
Familiarity with low power design techniques including multi-VT, clock gating, power gating, and DVFS

Nice to have

Python
Perl
C++
Debugging
Communication skills
Teamwork

Role overview

Role family
Hardware Engineering
Level
IC2 — qa_testing
Experience
2–6 years
Type
Individual Contributor
Remote policy
Hybrid
Visa sponsorship
Available

Tech stack analysis

LANGUAGES
PythonPerlC++SystemVerilog
FRAMEWORKS
Assertion-Based VerificationCoverage-Driven Verification
TOOLS
VCSVerdiVCLPMVRCNLPMVSIMUPFCPF

Salary estimate

$140K – $200K
AI-estimated salary range
Confidence82%
Reasoning

NVIDIA is known for top-tier compensation in the semiconductor industry. For a mid-level verification engineer (2+ years) in Santa Clara, CA, base salaries typically range from $140K–$200K, with total compensation including RSUs and bonuses often significantly higher. NVIDIA's Glassdoor and Levels.fyi data for similar roles corroborate this range.

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Green flags

5 items
NVIDIA is widely recognized as one of the most desirable employers in the world with competitive salaries and generous benefits.compensation

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Benefits breakdown

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Hiring insights

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

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Red flags

PRO3 items
No explicit salary range disclosed in the job posting, which limits transparency for candidates.compensation

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Interview insights

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

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Career path

PRO
Next roles
Senior Verification EngineerDesign Verification LeadLow Power Design Engineer

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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 Maintainboth
Cross-functionalYes