AI Insights
NVIDIA

Senior Software Verification Engineer, DOCA SDK

NVIDIA · Santa Clara, California, US
full-timesenior (5-12 yrs)Posted 17d ago
QA EngineeringIC3ICHybridVisa Sponsored
StackPythonCC++LinuxDockerShell scriptingJenkinsGerritCI/CDVirtual machinesSystem-level testingIntegration testingTest automationRoot-cause analysisRegression testing

Summary

NVIDIA is hiring a Senior Software Verification Engineer to join the DOCA Verification team, focusing on validating DPU and NIC software features with an emphasis on advanced networking (congestion control, optimized network usage) through automated testing in Python and system-level integration testing on Linux.

About the role

Join NVIDIA’s DOCA Verification team as a Senior Software Verification Engineer and help shape the future of Data Processing Unit (DPU) and network interface cards software. We are seeking a highly motivated and skilled engineer with hands-on technical experience to verify the design and implementation of next-generation software features, with a focus on solving modern hyper scaler advanced networking aspect like congestion control and optimized network usage.

What you'll be doing:

  • Collaborate with software, architecture, product, and DevOps teams to define test requirements, coordinate releases, and deliver high-quality products.

  • Take end-to-end ownership of features: develop test plans, implement, and fully automate testing (primarily in Python).

  • Design, build, and maintain automated test scripts and frameworks.

  • Validate software functionality and performance through system-level and integration testing in Linux-based and virtualized environments.

  • Analyze test results, file bugs, track issues to closure, and ensure robust solutions.

  • Drive continuous improvement in verification flows and contribute to process and methodology enhancements.

  • Set up, maintain, and optimize test environments using Linux, Docker, and virtual machines.

  • Monitor nightly regression systems, analyze failures, and provide thorough root-cause analysis across hardware, OS, and software layers.

What we need to see:

  • Bachelors Degree in EE, CS or CE or equivalent experience

  • 5+ years of experience in software testing or software engineering

  • Strong programming skills in C/C++

  • Solid experience with Linux-based environments, including system tools and command-line utilities.

  • Methodical troubleshooting skills in Linux environments with a disciplined approach to evidence-based failure analysis.

  • Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

  • Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.

  • Excellent communications skills, self-motivated and well organized.

  • Knowledge in operating systems and specifically with Linux.

Ways to stand out from the crowd:

  • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.

  • Python or other scripting languages (such as Shell)-advantage.

  • Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.).

  • Knowledge of NVIDIA DPU products.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today!

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.

#LI-Hybrid

What you'll do

1Collaborate with software, architecture, product, and DevOps teams to define test requirements and coordinate releases
2Take end-to-end ownership of features: develop test plans, implement and fully automate testing (primarily Python)
3Design, build, and maintain automated test scripts and frameworks
4Validate software functionality and performance through system-level and integration testing in Linux-based and virtualized environments
5Analyze test results, file bugs, track issues to closure, and ensure robust solutions
6Drive continuous improvement in verification flows and contribute to process and methodology enhancements
7Set up, maintain, and optimize test environments using Linux, Docker, and virtual machines
8Monitor nightly regression systems, analyze failures, and provide thorough root-cause analysis across hardware, OS, and software layers

Requirements

5+ years of software testing or software engineering experience with strong C/C++ programming skills
Solid hands-on experience in Linux-based environments including system tools, CLI utilities, and methodical failure analysis
Ability to design, implement, and fully automate test plans and frameworks (primarily Python)
Experience with system-level and integration testing in Linux and virtualized/containerized environments
Strong cross-functional collaboration, analytical, and debugging skills across hardware, OS, and software layers

Nice to have

Python
Shell scripting
Jenkins
Gerrit
NVIDIA DPU products
CI/CD methodology

Role overview

Role family
QA Engineering
Level
IC3 — qa_testing
Experience
5–12 years
Type
Individual Contributor
Remote policy
Hybrid
Visa sponsorship
Available

Tech stack analysis

LANGUAGES
PythonCC++Shell/Bash
INFRASTRUCTURE
LinuxDockerVirtual machinesJenkinsGerritCI/CD pipelines
TOOLS
Regression testing systemsNightly automation frameworksSystem-level test tooling

Salary estimate

$160K – $220K
AI-estimated salary range
Confidence78%
Reasoning

NVIDIA is a top-tier semiconductor company in Santa Clara, CA, known for premium compensation. Senior SWE/QE roles at NVIDIA with 5+ years experience typically range from $160K–$220K base, with significant additional RSU/bonus comp. Glassdoor and Levels.fyi data for NVIDIA Senior Software Engineers in the Bay Area supports this range. QA/Verification roles tend to sit slightly below pure SWE, but NVIDIA's DOCA team is highly specialized (DPU/networking), which commands a premium.

See the AI-estimated salary range for this role

Sign up free →

Green flags

5 items
NVIDIA is one of the most financially strong and stable tech companies globally, currently at peak growth driven by AI/GPU demand.stability

Discover all 5 green flags for this role

Sign up free →

Benefits breakdown

HEALTH & WELLNESS
Comprehensive benefits package (specifics not disclosed)

See all benefits organized by category — health, financial, time off & more

Sign up free →

Hiring insights

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

See JD quality score, hiring urgency & team details

Sign up free →

Red flags

PRO3 items
No salary range disclosed despite California law (SB 1162) requiring pay range transparency for postings. This is a legal and transparency concern.compensation

See all 3 red flags — what the JD isn't telling you

Sign up free →

Interview insights

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

Get full interview breakdown — rounds, likely topics & prep tips

Sign up free →

Career path

PRO
Next roles
Staff Verification EngineerPrincipal Software Engineer (Verification)Engineering Manager, Verification

See where this role leads — full career progression

Sign up free →
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