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Harmonic

Startup data for investment due diligence

Research Engineer - Formal Methods

AI ResearchConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science 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, such as Lean, Coq, Isabelle, or Agda, and a strong foundation in formal methods and mathematical logic.
  • Experience driving highly technical research projects from early concept to delivery.

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.

Desired Qualifications

  • Expert-level knowledge of Lean 4.
  • A 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.
  • A proven track record in research or development of programming languages.
  • A 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.

About the Company

Harmonic

Startup data for investment due diligence

Harmonic provides a large, ready-to-query database of startups and professionals. Its data engine curates this information and feeds it directly into a client’s data warehouse or cloud storage, enabling fast, flexible analysis. The service delivers weekly updates and emphasizes breadth, speed, and lower costs compared to pulling data from multiple sources. Its goal is to help investment teams quickly find, assess, and track startup opportunities using a centralized, up-to-date data foundation.

Company size
11-50
Company stage
Series C
Total funding
$295M
Headquarters
Palo Alto, CA
Founded
2023

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