Research Engineer, Formal Methods

Posted 2 Months Ago
Be an Early Applicant
2 Locations
In-Office
Entry level
Software
The Role
Conduct formal-methods research for software, hardware, and mathematical verification. Apply Lean or similar proof assistants to verify safety-critical systems, develop algorithms that improve AI-driven theorem proving, and collaborate with AI researchers to train reliable reasoning systems. The role requires technical research project ownership and may involve programming languages, safety-critical verification, open-source tools, and high-quality research contributions.
Summary Generated by Built In
About Harmonic

At Harmonic, we believe the future of AI depends on proof. Most AI makes its best guess. Aristotle uses formal methods and reinforcement learning to check its own reasoning and results.

AI agents can write software in seconds, but edge cases and silent bugs still get through. We're building the verification engine to find them before code ships. With support for C and Verilog, Aristotle is built for the hardware and software where failure is expensive.

Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.

Try Aristotle for yourself here!

About the Role

We are seeking a highly motivated and skilled Research Engineer to join our Formal Methods team. 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 new approaches to express and prove important software and hardware properties, work with AI researchers to train and develop AI systems to reliably check them.

Key Responsibilities
  • Conduct research in formal methods for verification of software, hardware and mathematical domains

  • Apply formal verification techniques using Lean or similar frameworks to formally verify safety critical systems

  • Develop and implement algorithms and techniques to improve the efficiency and effectiveness of formal methods for AI systems

Minimum Qualifications
  • BS or MS in Computer Science, Mathematics, a related technical field, or equivalent industry experience

  • Basic proficiency in python

  • Proficiency and practical experience with at least one proof assistant (e.g., Lean, Coq, Isabelle, Agda) and a strong foundation in formal methods and mathematical logic 

  • Experience driving highly technical research projects from early concept to delivery

Preferred Qualifications
  • Expert level knowledge of Lean4

  • PhD in Computer Science, Mathematics, or related technical field

  • Experience verifying programs in safety critical fields such as; aerospace/defense, automotive, medical, cryptography, etc

  • Proven track record in research or development of programming languages

  • Proven track record of high-quality research demonstrated by publications, patents, or software contributions

  • Contributions to open-source projects or development of software tools in the field

What We Offer
  • Unlimited PTO

  • 401(k) matching

  • 100% employer-paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family.

  • Health Savings Account (HSA) available for qualifying health plans

Equal Opportunity Statement

Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

Skills Required

  • BS or MS in Computer Science, Mathematics, a related technical field, or equivalent industry experience
  • Basic proficiency in Python
  • Practical proficiency with at least one proof assistant, such as Lean, Coq, Isabelle, or Agda
  • Strong foundation in formal methods and mathematical logic
  • Experience driving highly technical research projects from early concept to delivery
  • Expert-level knowledge of Lean4
  • PhD in Computer Science, Mathematics, or a related technical field
  • Experience verifying programs in safety-critical fields such as aerospace, defense, automotive, medical, or cryptography
  • Track record in research or development of programming languages
  • High-quality research demonstrated by publications, patents, or software contributions
  • Contributions to open-source projects or development of software tools in the field
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The Company
HQ: San Jose, CA
30 Employees

What We Do

We are forging the worlds most advanced mathematical reasoning engine

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