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Theorem Proving Jobs in California (NOW HIRING)

Qualcomm

CPU Formal Verification Engineer

Santa Clara, CA · On-site

$159K/yr

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 ...

Nutanix

CPU Formal Verification Engineer

Santa Clara, CA · On-site

$142 - $213/hr

BA/BS degree in CS/EE with 8+ years of practical experience in application of formal methods in hardware or softwareStrong model checking or theorem proving background/experience in verification of ...

Qualcomm

CPU Formal Verification Engineer

Santa Clara, CA · On-site

$142 - $213/hr

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 ...

Harmonic

Research Engineer, Formal Methods

Palo Alto, CA · On-site

$140 - $200/hr

The initial focus of this position will be on pushing the limits of AI based theorem proving for verification of software and/or hardware. The successful candidate will play a key role in developing ...

Harmonic

Formal Verification Engineer

Palo Alto, CA · On-site

$180 - $230/hr

Direct experience in hardware verification, software verification, or interactive theorem proving (ITP) * Demonstrated ability to independently navigate complex concepts, manage risks and deadlines ...

MatX Inc.

Formal Verification Engineer

Mountain View, CA · On-site

$160 - $600/hr

... worth proving and translate them into tractable proof obligations * Drive methodology for ... Practical experience with at least one interactive theorem prover (Lean, Coq, Isabelle/HOL, Agda ...

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Theorem Proving information

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 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.

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 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 popular job titles related to Theorem Proving jobs in California?

For Theorem Proving jobs in California, the most frequently searched job titles are:

What job categories do people searching Theorem Proving jobs in California look for?

The top searched job categories for Theorem Proving jobs in California are:

What cities in California are hiring for Theorem Proving jobs?

Cities in California with the most Theorem Proving job openings:

Theorem Proving jobs near you
Infographic showing various Theorem Proving job openings in California as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Formal Verification Engineer, GPU Kernels

Santa Clara, CA • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about NVIDIA Gruppeexternal

$184 - $287.50/hr

Other

Posted 10 days ago

Job description

Overview

We are looking for a Senior Formal Verification Engineer for GPU Kernels. NVIDIA's Deep Learning Safety Team is hiring engineers to build verification tools that prove GPU kernels behave correctly, enabling their deployment in a wide range of environments, including safety‑critical systems.

Responsibilities
  • Design and develop robust and scalable verification tools for GPU kernels.
  • Integrate your work into 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 dynamic company culture to develop innovative software and hardware products and practice hardware‑software co‑design.
Qualifications
  • 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 your own development effort.
Desired Skills
  • 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.
Compensation and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The salary range is 184,000USD–287,500USD. You will also be eligible for equity and benefits.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. NVIDIA does not discriminate 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.

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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

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