Formal Verification Engineer - AI - Toronto, Canada

Cognichip; Toronto; On-site; CAD 85,000 - 115,000; Full time

Benefits offered by this job

Mentorship from experienced engineers

Structured ramp-up into the field

Job summary

Cognichip in Toronto is seeking a Formal Verification Engineer - AI to join their verification team, tackling complex systems with precision and analytical rigor. Candidates with backgrounds in Computer Science, Mathematics, or Physics are encouraged to apply.

The role involves developing formal verification environments, property checking, and enhancing verification methodologies. Cognichip offers mentorship and a culture that values depth and precision.

Qualifications

• Demonstrated strength in mathematical reasoning through formal verification experience, research, or competition.
• Solid programming skills and ability to master new tools rapidly.

Responsibilities

• Develop and apply formal verification environments for complex systems.
• Translate specifications into rigorous formal properties.
• Perform property checking and debug counterexamples.
• Improve methodology across projects.
• Develop scripts to support verification productivity.

Skills

Mathematical reasoning

Programming (Python, C++)

Education

BS, MS, or Ph.D. in Computer Science, Mathematics, or Physics

Job description

Job Title

Formal Verification Engineer - AI

About The Role

We are looking for exceptional analytical minds to join our verification team. Our work centers on a hard and rewarding problem: mathematically proving that complex systems behave exactly as specified — no edge cases, no exceptions.

You might be an experienced formal methods practitioner, or you might come from pure mathematics, physics, or another rigorous quantitative discipline and be looking to apply your skills to concrete, high-impact engineering problems.

If you have a talent for precise reasoning, constructing airtight arguments, and learning new technical domains quickly, we will teach you the rest.

Key Responsibilities

• Develop and apply formal verification environments for complex systems.
• Translate specifications and design documents into rigorous formal properties.
• Perform property checking, model checking, and automated proof development; debug and root‑cause counterexamples.
• Improve verification coverage, methodology, and reusability across projects.
• Develop scripts and utilities to support verification productivity.

Required Qualifications

• BS, MS, or Ph.D. in Computer Science, Mathematics, Physics, or another rigorous quantitative field.
• Demonstrated strength in mathematical reasoning — through formal verification experience, research, competition mathematics, or comparable evidence of rigor.
• Solid programming skills (e.g., Python, C++) and the drive to rapidly master new tools and domains.

Preferred Qualifications

• Hands‑on experience with formal verification: model checking, property specification, or automated theorem proving.
• Experience with interactive theorem provers (e.g., Coq, Lean, Isabelle, ACL2) or SMT solvers (e.g., Z3, CVC5).
• Experience building verification tooling or contributing to open-source formal methods projects.
• Background in logic, type theory, discrete mathematics, or mathematical physics.

What We Offer

• The chance to work on genuinely hard correctness problems where rigor matters.
• Mentorship from experienced formal methods engineers and a structured ramp‑up into the field.
• A culture that values depth, precision, and first‑principles thinking.