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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We have an exciting opportunity for a talented Senior System Software Engineer to join our Automotive Team and help us develop innovative, safe, secure, and high-performance automotive systems. If you have a good understanding of System Software development, bring-up of new platforms, experience in QNX and Linux software development, low level programming/debugging skills, we want to hear from you! Join us in creating the future of automotive technology and work in a team that is revolutionizing the industry.
What you'll be doing:
Design and develop safety (ISO26262) and security (ISO21434) compliant system software for NVIDIA DRIVE platform for autonomous vehicles
Perform development & bring-up activities for next-generation Tegra SOC hardware and Systems including devices like network switches and MCUs
Design debugging solutions and tooling to improve developer experience on DRIVE platform
Architect and implement solutions to sophisticated issues & defects involving interactions between components partitioned across the large software stack
Use Formal Methods to design and develop high integrity software
What we need to see:
BS/MS in electrical engineering, computer science, or computer engineering and more than 8 years of experience with device driver design and development on embedded systems
Proven understanding of computer architecture, operating system fundamentals and Ethernet networking
Strong experience in understanding board schematics, debugging board design issues and engaging with vendors of hardware components
Strong Python/C/C++ and/or Ada/SPARK programming and debugging skills
Experience configuring a complex virtualized system for the intended use case
A strong teammate; self-motivated with a positive approach!
Ways to stand out from the crowd:
Experience in taking features from inception to the product following the Software Development Process and Hands-on experience with ISO26262 and ISO21434.
Hands-on experience with formal methods, especially using TLA+ and Ada/SPARK toolchains.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.”
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