Senior System Software Engineer - Tegra

Reposted 3 Days Ago
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Santa Clara, CA
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and debug diagnostic software, design device drivers for SOCs, and optimize features in collaboration with teams. Requires C/C++ expertise and strong debugging skills.
Summary Generated by Built In

We are now looking for a Senior System Software Engineer to work in our Tegra system software group. The best candidates will have excellent C/C++, a thorough understanding of operating systems and kernel programming, a good understanding of computer architecture. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server 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 computer science or other related fields

  • Strong C/C++ programming skills.

  • 5+ years of experience

  • Familiarity with SOC architecture, and ability to work close to the hardware.

  • Strong problem-solving and debugging skills.

  • Excellent communication and planning skills.

Ways to stand out from the crowd:

  • Solid understanding of ARM platform and Linux Kernel internals

  • Experience in Pre-Silicon / Post-Silicon bringup planning, system validation testing, 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 projects as well as an understanding of SW product release lifecycle

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 28, 2025.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.

Top Skills

Arm
C
C++
Linux Kernel
Soc
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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