We are now looking for a Senior Formal Verification Engineer for GPU Kernels! Modern AI performance relies on highly optimized GPU kernels — performance-critical code where bugs can be hard to catch and expensive to miss. NVIDIA's Deep Learning Safety Team is hiring engineers to build the verification tools that prove these kernels behave correctly, enabling their deployment in a large range of environments, including safety-critical systems. The mission is to design and develop scalable verification tools for GPU kernels. You will design and implement new verification approaches that can handle the massive concurrency and complex memory model of the latest GPU architectures.
Formal methods alone cannot scale to modern GPU kernels, and AI alone cannot offer safety guarantees — the team's bet is that the combination can, and you will help build it. Join the team supporting compiler and kernel developers for safe autonomous driving.
What you'll be doing:
In this role, you will be responsible for developing and delivering verification tools for GPU kernels. The scope of these efforts ranges from developing new algorithms to evaluating them, from building tools to automating workflows, from joining architecture discussion to learning the latest technologies from the research community. The AI + formal methods intersection is an active research area — expect to read papers, prototype ideas from them, and contribute back where it makes sense.
Design and develop robust and scalable verification tools for GPU kernels.
Integrate your work in production pipelines to support kernel and compiler developers.
Integrate AI into formal verification workflows, build agents to automate verification tasks (formalization of specifications, bug fixing, root cause analysis)
Participate in a high-energy and dynamic company culture to develop innovative software and hardware products and practice hardware-software co-design.
What we need to see:
MS or PhD in Computer Science, Compute Engineering or equivalent experience.
6+ years of relevant work experience.
Formal methods experience: symbolic execution, SMT solving, interactive theorem proving, or model checking.
Strong programming skills in C/C++ or Rust, experience in SCM (e.g., Git) and build systems (e.g., Make, CMake).
The ability to work independently, define project goals and scope, and lead your own development effort
Ways to stand out from the crowd:
Knowledge of CPU and/or GPU architecture. CUDA or OpenCL experience is a plus.
Background in the formalization of weak memory models.
Experience in the verification of concurrent software.
Experience building LLM agents with tool use and multi-step reasoning, or with neurosymbolic approaches and LLM-assisted theorem proving.
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many software projects.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
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.Skills Required
- MS or PhD in Computer Science, Compute Engineering or equivalent experience
- 6+ years of relevant work experience
- Formal methods experience: symbolic execution, SMT solving, interactive theorem proving, or model checking
- Strong programming skills in C/C++ or Rust
- Experience in SCM (e.g., Git) and build systems (e.g., Make, CMake)
- Ability to work independently, define project goals and scope, and lead development efforts
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.”
