NVIDIA GPUs have ignited a new era of computing with the advent of AI, for which the GPU acts as the brain of computers. Robotics, self-driving cars, industrial automation, and many other domains benefit from the computing power of GPUs. The high-quality and robust GPU software stack simplifies the realization of complex use cases. This has been possible because of the amazing group of people working here at NVIDIA who made this happen. As we shift gears with the GenAI revolution and are going more towards GenAI assisted design and development, we are also taking up on solving some of the challenges that come with it. Formal verification of GenAI produced contents remains one of the important challenges.
We are now looking for a Senior System Software Engineer in the Compute System software team to work on defining and bootstrapping initiatives for formal verification of the SW architecture and design of the user mode drivers that interact with GPU, DLA and other Tegra compute engines.
What you’ll be doing:
You will be involved in the definition, architectural design and analysis, and development of groundbreaking functional safety software, with an opportunity to shape the future of parallel computation on GPUs as well as DLA and other engines.
Bootstrap initiatives in defining and laying down the company wide process for formal verification.
Inculcate a culture of high quality software development in the team, mentor other engineers
What we need to see:
BS/MS/PhD degree in Computer Science or related field or equivalent experience
Passionate about high quality software engineering, and a desire to contribute towards creating better software
Deep understanding of computer architecture, OS fundamentals
Solid background in formal verification methodologies, functional programming
Hands on experience with LEAN4, TLA+, Haskell, Coq/Rocq or related paradigms
12+ years of proven experience in complex software development, design, and analysis
Strong teammate; self-motivated and good demeanor
A strong desire to learn, grow and create
Ways to stand out from the crowd:
Background with Parallel Programming, particularly in CUDA, OpenCL, or Renderscript
Previous experience working on Deep learning frameworks including Pytorch, TensorFlow, ONNX
Prior experience in working on special purpose or fixed functionality HW like DLA, NPU, ISP, DSP.
Prior experience in Formal verification, functional programming, LEAN4, TLA+, Haskell in a production software development environment
Prior experience with developing safety critical software, or hardening and taking complex software through software audits
NVIDIA is committed to cultivating 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.
Skills Required
- Bachelor’s, master’s, or doctoral degree in Computer Science or a related field, or equivalent experience
- Passion for high-quality software engineering and improving software quality
- Deep understanding of computer architecture and operating system fundamentals
- Solid background in formal verification methodologies and functional programming
- Hands-on experience with LEAN4, TLA+, Haskell, Coq/Rocq, or related paradigms
- 12 or more years of experience in complex software development, design, and analysis
- Strong teamwork, self-motivation, and professional demeanor
- Desire to learn, grow, and create
- Experience with parallel programming, particularly CUDA, OpenCL, or Renderscript
- Experience with deep learning frameworks including PyTorch, TensorFlow, or ONNX
- Experience with special-purpose or fixed-function hardware such as DLA, NPU, ISP, or DSP
- Production software experience with formal verification, functional programming, LEAN4, TLA+, or Haskell
- Experience developing safety-critical software or preparing complex software for audits
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.”
