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Theorem Proving Jobs (NOW HIRING)

Strong model checking or theorem proving background/experience in verification of complex systems * Experience in writing assertions and associated modeling code in Hardware Description Languages or ...

Strong model checking or theorem proving background/experience in verification of complex systems * Experience in writing assertions and associated modeling code in Hardware Description Languages or ...

Formal Verification - AI/ML Engineer

Austin, TX ยท On-site

$134K/yr

Familiarity with formal methods, SAT/SMT solvers, model checking, or theorem proving.Experience with code generation or analysis tasks using LLMs.MS or PhD in Computer Science, Electrical Engineering ...

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.

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Theorem Proving information

What are the key skills and qualifications needed to thrive as a Theorem Prover, and why are they important?

To thrive as a theorem prover, you need strong mathematical reasoning, formal logic skills, and typically an advanced degree in mathematics, computer science, or a related field. Familiarity with proof assistants and formal verification tools like Coq, Isabelle/HOL, or Lean is often required. Precision, patience, and strong problem-solving abilities are key soft skills that help in navigating complex proofs and collaborating with interdisciplinary teams. These skills are crucial for ensuring the correctness and reliability of mathematical results and software systems.

What is theorem proving?

Theorem proving is the process of using formal logic and mathematical reasoning to verify the truth of mathematical statements or propositions. In computer science and mathematics, theorem provers are specialized software tools that automatically or interactively check the validity of logical assertions. Theorem proving is widely used in areas such as software verification, hardware design, and formal methods to ensure systems behave as intended. By rigorously proving the correctness of algorithms and systems, theorem proving helps prevent errors and increases reliability in critical applications.

What is the difference between Theorem Proving vs Formal Verification Engineer?

AspectTheorem ProvingFormal Verification Engineer
Required CredentialsMathematics, Computer Science degrees, certifications in theorem proving toolsComputer Science, Electrical Engineering degrees, certifications in formal methods
Work EnvironmentResearch labs, academia, industry R&D teamsHardware/software companies, tech firms, industry R&D teams
Industry UsageMathematical proof development, academic research, complex system validationHardware design, software verification, safety-critical systems

While both roles involve formal methods, Theorem Proving focuses on developing mathematical proofs for systems, often in academic or research settings. Formal Verification Engineers apply formal methods to verify hardware and software correctness in industry, ensuring system reliability and safety.

What are some common challenges faced by professionals working in theorem proving roles?

Professionals in theorem proving often encounter challenges such as translating complex mathematical concepts into formal logic, managing large codebases of proofs, and ensuring the correctness and efficiency of their formalizations. They may also need to collaborate closely with mathematicians, software engineers, or researchers to clarify problem statements and verify results. Staying updated with the latest automated theorem proving tools and techniques is important, as the field evolves rapidly and often requires creative problem-solving.
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Senior Formal Verification Engineer, GPU Kernels

Senior Formal Verification Engineer, GPU Kernels

Nvidia

Santa Clara, CA โ€ข On-site

$143K - $189K/yr

Full-time

Posted 14 days ago


Job description

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.

Applications for this job will be accepted at least until April 27, 2026.

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.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993