Senior Formal Verification Engineer, GPU Kernels

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Formal Verification Engineer for GPU Kernels to design and implement scalable verification tools for complex memory models and vast concurrency. You will join the Deep Learning Safety Team to advance verification methods that enable safe AI deployment across diverse environments.

You will lead tool development, integrate AI into workflows, and collaborate with compiler and kernel teams while exploring cutting-edge research in formal

Qualifications

• MS or PhD in Computer Science, Compute Engineering or equivalent.
• 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 (Git) and build systems (Make, CMake).
• Ability to work independently, define project goals and lead development.

Responsibilities

• Develop and deliver verification tools for GPU kernels and integrate them into production pipelines.
• Design and implement scalable verification approaches for massive concurrency and memory models.
• Collaborate with kernel and compiler teams and apply AI to formal verification workflows.
• Prototype ideas from research papers and contribute back with practical implementations.
• Lead projects and drive results in a fast-paced environment.

Skills

C/C++

Rust

Symbolic execution

Education

MS or PhD in CS/CE or equivalent

Tools

Git

Make

CMake

Job description

## Senior Formal Verification Engineer, GPU KernelsApplylocations: US, CA, Santa Claratime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2016917We 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.Applications for this job will be accepted at least until August 9, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive 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.