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
- B.S. or higher in Computer Science, Software, Electrical Engineering or equivalent experience
- 2+ years hands-on experience in software development, automation, or verification
- Very strong Python skills; experience writing and maintaining automation code
- Solid understanding of Linux (command line, debugging, basic system concepts)
- Familiarity with Git and at least one CI tool (Jenkins, GitLab CI, or similar)
- Strong communication skills, curiosity, and ability to work across global teams
- Understanding of networking fundamentals (L2/L3)
- Experience with test & automation frameworks (pytest, Robot Framework, or equivalents)
- Exposure to Docker, Gerrit, or infrastructure-as-code tooling
- Experience creating reports/dashboards with Grafana or Power BI
- Familiarity with embedded system architecture or open-source contributions (GitHub)
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
