Principal Applied Scientist, Automated Reasoning
About The Team
The Automated Reasoning Group at AWS develops and applies cutting-edge formal methods and automated reasoning techniques to ensure the security, reliability, and correctness of AWS services and customer applications. Our work innovates tools and services to perform verification at scale and apply them to build safe and secure systems at AWS. We are also pioneering the use of formal verification and automated reasoning to develop agentic systems, ensuring AI agents operate within defined safety boundaries.
Key Job Responsibilities
- Lead research initiatives in automated reasoning, formal verification, SMT solving, model checking, or program analysis
- Design and implement novel algorithms and techniques that advance the state of the art
- Mentor and guide applied scientists, research scientists, and engineers
- Collaborate with product teams to transition research into production systems
- Define technical vision and strategy for automated reasoning initiatives
- Represent AWS in the academic and research community
- Drive cross-organizational impact through technical leadership
Basic Qualifications
- MS or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Industrial/academic experience in formal verification, and theorem proving
- Experience with program analysis, program verification or synthesis
- Experience with programming languages such as Rust, C, C++, Java, Dafny, OCaml or Haskell, and open source technologies
- Experience in design and analysis of algorithms and data structures
Preferred Qualifications
- Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts
- 5+ years of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Familiarity with machine learning and generative AI techniques
Pay
Base salary range: $198,900.00 - $269,000.00 USD annually (Seattle, WA). Your package will include sign-on payments and restricted stock units (RSUs). Final compensation determined based on factors including experience, qualifications, and location.
Benefits
- Health insurance (medical, dental, vision, prescription)
- Basic Life & AD&D insurance and option for Supplemental life plans
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave