Job description

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 . Applications for this job will be accepted at least until September 5, 2026. 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.

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goci/cdaipythondocker

Platform: eightfold
Effort: medium