We are now looking for a 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 work closely with both hardware engineers and other software engineers to design, develop, and debug the diagnostic software stack used for Tegra chips / products. You will also be heavily involved with interacting with various teams and writing various device drivers to produce high-quality, reliable diagnostic software that is extensively used both within NVIDIA and for the customer data center and automotive products that are used throughout the world.
What you’ll be doing:
Develop drivers and tests to see them through the full software development lifecycle.
Work with software engineers, hardware, and arch teams to implement and optimize features for the diagnostic solutions used for various system-on-chip (SOC) use cases.
Triage, debug, and implement fixes in the software stack.
Communicate efficiently with peers throughout the company, as well as customers and partners.
What we need to see:
BS or MS in EE/CS and 5+ years of industry related experience
Strong C/C++ programming skills.
Familiarity with SOC architecture, and ability to work close to the hardware.
Previous experience of working on a large modular system software code base is preferable.
Strong problem-solving and debugging skills.
Excellent communication and planning skills.
Ways to stand out from the crowd:
Have knowledge of Linux Kernel internals.
Solid understanding of ARM platforms
Experience working with diagnostic software solutions.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!
Skills Required
- BS or MS in Electrical Engineering or Computer Science and 5+ years industry experience
- Strong C/C++ programming skills
- Thorough understanding of operating systems and kernel programming
- Good understanding of computer architecture and SOC architecture
- Ability to work close to hardware and develop device drivers
- Strong problem-solving and debugging skills
- Excellent communication and planning skills
- Previous experience with a large modular system software code base
- Knowledge of Linux Kernel internals
- Solid understanding of ARM platforms
- Experience working with diagnostic software solutions
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
