Senior System Software Engineer - Tegra

Reposted 7 Hours Ago
Be an Early Applicant
Santa Clara, CA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop software validation frameworks for SOC systems, improve software efficiency, and conduct debugging for complex system failures while collaborating cross-functionally.
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. Join us at forefront of this new frontier!

What you’ll be doing:

  • Designing and developing test and framework that can most efficiently validate and stress 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. 

  • Architecting and driving new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms.

  • 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 board/system level failures.

  • 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.

  • 5+ years of industry related 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.

  • Expert communication, interpersonal and planning skills.

Ways to stand out from the crowd:

  • Knowledge of Linux kernel internals and solid understanding of ARM platforms.

  • Experience in diagnostic software for datacenter and server systems.

  • 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 projects as well as an understanding of SW product release lifecycle

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 27, 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.

Top Skills

Arm
C
C++
Linux
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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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