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How much do system software engineer nvidia jobs pay per year?

As of Jul 8, 2026, the average yearly pay for system software engineer nvidia in the United States is $177,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $205,000.00 per year, depending on experience, location, and employer.
Senior System Software Engineer - Tegra

Senior System Software Engineer - Tegra

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 15 days ago

Job description

We are now hiring a System Software Engineer to join the NVIDIA's System Software group focusing on Tegra Diagnostics. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server/auto/embedded products used in ground breaking of diverse AI, HPC, and accelerated computing workloads. We have some of the best engineers in the world conceptualizing and taking these products to the finish line and these outstanding engineering teams are rapidly growing. If you're a creative software engineer with a real passion for developing products with new technology, we want to hear from you.

What you'll be doing:

  • Developdrivers/tests and frameworksthat can most efficiently stress the SOC/Systemand to see them through the full software development lifecycle. This can include working in user-space, kernel, firmware or boot software of SOC.

  • Participating in overall system architectureanalysis and collaborate with internal software teams and define/designuse casesthat can push the SOC/systemto hitlimits of power, noise patterns and bandwidth metrics

  • Spearhead various initiatives toimprove efficiency, robustness and user friendliness of the softwarewe deliver for design validation, thermal & power characterization, manufacturing screening, and external customers bring up.

  • Understand and participate in the debug /root cause analysisof very complex data center module/rack level failures.Recommend remediations and drive SW architecture improvementswhen applicable.

  • Communicate optimally with various teams throughout the company, as well as customers and partners.

What we need to see:

  • BS/MS in EE/CS or equivalent experience.

  • 8+ years of experience

  • Strong C/C++ programming skills and object-oriented programming skills.

  • Experience with low level / driver level programming.

  • Understanding of processor architecture fundamentals, preferably arm.

  • Strong problem-solving and debugging skills.

  • Strong communication, interpersonal and planning skills.

Ways to stand out from the crowd:

  • Knowledge of Linux kernel internals.

  • Knowledge of Server / PC system architecture.

  • Experience in Pre-Silicon / Post-Silicon bringup planning and execution of complex SoCs and platforms

  • Consistent record of learning new technologies on the job in a time-bound manner.

  • Experience working in teams on large SW project

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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