Principal Applied Scientist, Automated Reasoning

About the role

The Principal Applied Scientist will lead research and development in automated reasoning, formal verification, and program analysis. They will drive innovation in making formal methods practical and accessible for real-world systems at cloud scale.

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

Requirements

• 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

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

Skills

Not specified

Benefits

Not specified

Pay

Base salary range: $198,900.00 - $269,000.00 USD annually

Schedule

Not specified