NVIDIA is growing its SDK Verification team and looking for engineers early in their careers who want to go deep on verification, automation, and networking technology. You'll work alongside SDK development and architecture teams, with mentorship from senior engineers, while building expertise in networking protocols and NVIDIA networking technologies. This is an exceptionally outstanding opportunity to be part of a world-class team and work on ambitious projects that build the future of technology. Join us and help successfully implement innovative solutions that have a lasting impact on the world!
The role is based in Austin and requires two days in the office per week
What You'll Be Doing:
Develop and maintain automated tests for SDK Interfaces, development tools, and software libraries
Contribute to our OS verification infrastructure and help keep it healthy
Build and improve automation workflows that support fast, reliable SDK releases
Work within our CI/CD pipelines, adding coverage and improving stability
Collaborate with hardware, firmware, DevOps, and software teams to reproduce, isolate, and debug issues
Participate in building and code reviews, and grow into ownership of verification areas over time
We are AI native and use AI in all stages - search, build, agents, and automation.
What We Need to See:
B.S or higher in Computer Science / Software / Electrical Engineering (or similar), or equivalent experience
2+ years of hands-on experience in software development, automation, or verification
Very Strong Python skills — you've written and maintained real automation code, not just scripts
Solid understanding of Linux (command line, debugging, basic system concepts)
Familiarity with Git and at least one CI tool (Jenkins, GitLab CI, or similar)
Curiosity, strong communication, and the ability to work across teams around the world.
Ways to Stand Out from the Crowd:
Understanding of networking fundamentals (L2 / L3) — coursework, personal projects, or on-the-job exposure all count
Experience with the latest Test & Automation Frameworks (pytest, Robot Framework, or in-house equivalents)
Exposure to Docker, Gerrit, or infrastructure-as-code tooling
Crafting reports/dashboards with Grafana or PowerBI
Curiosity about networking and Embedded System Architecture is important. Having a track record of teaching yourself new technical domains or contributing to open-source projects on GitHub is a huge boost.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s degree or higher in Computer Science, Software Engineering, Electrical Engineering, or a similar field, or equivalent experience
- At least 2 years of hands-on experience in software development, automation, or verification
- Very strong Python skills, including experience writing and maintaining automation code
- Solid understanding of Linux, including command-line usage, debugging, and basic system concepts
- Familiarity with Git
- Familiarity with at least one CI tool, such as Jenkins or GitLab CI
- Strong communication and ability to work across global teams
- Understanding of networking fundamentals, including Layer 2 and Layer 3 concepts
- Experience with pytest, Robot Framework, or similar test and automation frameworks
- Exposure to Docker, Gerrit, or infrastructure-as-code tooling
- Experience creating reports or dashboards with Grafana or Power BI
- Curiosity about networking and embedded system architecture
- Open-source contributions or demonstrated ability to self-teach new technical domains
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
