About you
You have a background in programming language theory and automated reasoning and love to work on the forefront of applying results from theoretical computer science. You love to tackle computationally hard problems and have a proven track record of achieving results, where results are people using your tool to do their jobs. You are collaborative: you share ideas, love to brainstorm with peers, and give and receive feedback. You are comfortable with the unknown and understand that #startuplife means that you will be wearing multiple hats.
Responsibilities
Extend the scope and depth of our automated program verification tools and brainstorm, design, and implement new tools.
Adapt and improve algorithms for symbolic software model checking. Examples include bounded model checking (BMC), counterexample-guided abstraction refinement (CEGAR), and property directed reachability (IC3/PDR).
Build and extend translators from different input languages into intermediate representations, optimizing the generated models for automated analysis.
Identify new classes of security properties of smart contracts and formalize properties for use in our automated verification tools.
Closely collaborate with other software engineers in developing tools and set technical direction for solving problems in consultation with your team and management.
- Work on all aspects of delivering working software that meets customer needs, including analysis, design, automated testing, operations, CI/CD, measuring results, incorporating customer feedback, and support.
- Required Qualifications
- Master's Degree in Computer Science or a related field or 5 years of equivalent experience.
Minimum of 4 years of software development experience (includes internships, software developed during research, and open-source development).
Minimum of 2 years of experience with one or more of the following: model checking, formal verification, SAT/SMT solving (Z3, CVC4, Yices, MathSAT, SMTInterpol), abstract interpretation, or closely related disciplines.
- Demonstrated knowledge of fundamental computer science concepts such as data structures, algorithms, mathematical logic, and automata theory.
- Preferred Qualifications
- PhD in the broader field of automated reasoning.
Publication record in conferences like POPL, CAV, TACAS, FMCAD, FM, etc.
Experience in functional programming (OCaml or Haskell).
Strong and creative problem-solving skills; always willing to learn and embrace new technologies and to collaborate.
Prior experience in a professional software development environment.
