You will bridge the gap between formal methods and hardware design, applying proof assistants like Lean to RTL-level verification. Joining a team of world-class researchers and engineers, you’ll develop machine-verifiable proofs of correctness for complex hardware systems, moving beyond traditional simulation to ensure absolute reliability in the next generation of AI-driven architecture.
Hardware Formal Verification Engineer at Axiom
Axiom is building the future of verified AI, applying mathematical rigor to hardware and software through machine-verifiable proofs. As a Hardware Formal Verification Engineer, you will use proof assistants like Lean to move beyond traditional simulation and establish absolute correctness for complex hardware systems. This is a unique opportunity to apply frontier formal methods research to real-world product impact alongside a team that has already settled open mathematical conjectures with zero human guidance.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Axiom
Role overview
Axiom is a $200M Series A startup based in the San Francisco Bay Area, backed by Menlo Ventures at a $1.6B valuation and focused on building the future of verified AI.
What you will do
- Develop and implement formal proofs for hardware properties using proof assistants like Lean, Coq, or Isabelle to ensure absolute correctness.
- Collaborate with hardware designers to bridge the gap between high-level formal methods infrastructure and low-level RTL or circuit-level verification.
- Research and apply SAT/SMT solving and theorem-proving techniques to solve complex verification challenges at the frontier of hardware design.
Who this is a fit for
- Strong background in formal methods, including hands-on experience with theorem provers such as Lean, Coq, or Isabelle and advanced mathematical logic.
- Deep expertise in hardware verification and architecture, with professional experience in RTL design, processors, SoCs, and equivalence checking tools.
- A research-driven mindset capable of publishing top-tier work and solving open-ended problems at the intersection of AI and formal verification.
Why this role is remarkable
- Work at the cutting edge of formal verification, using Lean to prove hardware properties rather than just catching bugs with traditional property checking.
- Join a powerhouse team of researchers from Stanford, Oxford, and top labs who have already achieved perfect scores on the Putnam Competition.
- Unprecedented Series A stability with $200M in funding from Menlo Ventures, valuing the company at $1.6B to redefine machine intelligence.
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