Applied Scientist - Automated Reasoning & Verification

Amazon; Boston (MA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Boston seeks an Applied Scientist to design and implement algorithms and formal methods for automated reasoning, verification, and neurosymbolic approaches across AWS services.

You will work on scalable verification, constraint solving, model checking, and theorem proving to ensure the security and reliability of systems. The role requires a PhD or equivalent research experience and expertise in formal verification, SAT/SMT, model checking, or related

Qualifications

• PhD or equivalent research experience.
• Experience in mathematical logic, formal verification, satisfiability solving (eg SAT/SMT), mechanical theorem proving, model checking, or program analysis.

Responsibilities

• Design and implement algorithms and formal methods for automated reasoning, including constraint solving, model checking, static analysis, theorem proving, and program synthesis to verify the correctness, security, and reliability of computing systems.
• Solve large or significantly complex problems that require deep knowledge and scientific innovation in your domain; own strategic problem solving and take the lead on design, implementation, and delivery of solutions with long-term quantifiable impact.
• Develop new decision procedures, heuristics, and search strategies that improve the scalability and accuracy of verification tools; build and deploy production‑grade automated reasoning systems at Amazon scale.
• Explore and apply generative AI and machine learning techniques to enhance automated reasoning capabilities, including learning‑based heuristics for search and optimization, neural approaches to symbolic reasoning, and methods for verifying the correctness of AI‑generated code.
• Develop automated reasoning techniques for generative AI and agentic coding systems, including methods for ensuring the safety and alignment of autonomous software agents and applying formal guarantees to large language model outputs.
• Conduct original research and publish findings in peer‑reviewed venues.
• Work with customer teams to understand the nature of their software and the properties they need to establish; identify tools and methods capable of addressing verification needs, including novel analysis capabilities.
• Provide cross‑organizational technical influence, increasing productivity and effectiveness by sharing deep knowledge and experience; collaborate with partner teams to translate verification capabilities into production systems.
• Mentor scientists and engineers on formal methods, neurosymbolic techniques, and best practices for building reliable automated reasoning systems; assist in career development of others.

Skills

Formal verification

SAT/SMT

Model checking

Theorem proving

Program analysis

Education

PhD or equivalent research experience

Tools

Lean

Dafny

Isabelle

Rocq

Job description

Amazon Development Center U.S., Inc. in Boston seeks an Applied Scientist to design and implement algorithms and formal methods for automated reasoning, verification, and neurosymbolic approaches across AWS services.

You will work on scalable verification, constraint solving, model checking, and theorem proving to ensure the security and reliability of systems. The role requires a PhD or equivalent research experience and expertise in formal verification, SAT/SMT, model checking, or related