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Senior System Software Engineer - Tegra

NVIDIANVIDIA·Semiconductors

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About the role

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:

  • Develop drivers/tests and frameworks that can most efficiently stress the SOC/System and 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 architecture analysis and collaborate with internal software teams and define/design use cases that can push the SOC/system to hit limits of power, noise patterns and bandwidth metrics

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

  • Understand and participate in the debug /root cause analysis of very complex data center module/rack level failures. Recommend remediations and drive SW architecture improvements when 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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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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