Research Engineer, Formal Methods

At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean4 and reinforcement learning to verify its reasoning and results.

Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that AI can master the most rigorous domains of human thought. Backed by some of the world’s most prominent investors, we are intentionally scaling an ...

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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.
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

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
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