Harmonic (harmonic.fun) Logo

Harmonic (harmonic.fun)

Research Engineer, Formal Methods

Posted 22 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Entry level
In-Office
Palo Alto, CA, USA
Entry level
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.
The summary above was generated by AI
About Harmonic

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 elite technical team.
Visit our company blog to learn more about what we are working on!

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.

HQ

Harmonic (harmonic.fun) San Jose, California, USA Office

San Jose, CA, United States

Similar Jobs

7 Days Ago
In-Office
Berkeley, CA, USA
250K-385K Annually
Entry level
250K-385K Annually
Entry level
Hardware
Build and scale formal methods tools for AI oversight, including verified agent containment across OCI containers and Linux isolation primitives. Apply proof assistants and formal verification infrastructure to real systems, run large experiments, iterate on tool designs, and document findings. The role involves owning complex research and engineering problems, collaborating with a small technical team, using AI agents, and helping shape technical direction.
Top Skills: Ai AgentsCoqFormal VerificationIsabelleLeanLinuxOci ContainersSmt Solvers
3 Minutes Ago
In-Office
161K-262K Annually
Senior level
161K-262K Annually
Senior level
3D Printing • Aerospace • Hardware • Software • Manufacturing
Manages the Avionics and Power Systems Engineering team developing human-rated space station and satellite systems. Responsibilities include hiring and mentoring engineers, defining system architecture and fault management strategies, leading requirements decomposition, FMECA, verification and validation campaigns, configuration control, interface documentation, and integration and test activities. The role also drives technical decisions, milestone documentation, and cross-functional execution for complex aerospace programs.
Top Skills: Avionics SystemsFailure Mode Effects And Criticality Analysis (Fmeca)Fault ManagementInterface Control Documents (Icds)Power SystemsSystems EngineeringSystems Modeling And AnalysisVerification And Validation (V&V)
3 Minutes Ago
In-Office
20-36 Hourly
Junior
20-36 Hourly
Junior
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Performs patient care procedures under clinician or RN supervision, including examinations, vital signs, medication administration, testing, specimen collection, telephone screening, and patient flow support. Maintains clinical areas, equipment, records, inventories, and audit readiness. Coordinates prescriptions, hospitalizations, and bed-day tracking while providing safe, compliant care.
Top Skills: Blood WithdrawalIntravenous (I.V.) TherapyPatient Specimen CollectionVital Signs Monitoring

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account