Applied Scientist, AWS Automated Reasoning

About the role

Description Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.

Key job responsibilities

• Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.
• Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.
• Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.
• Develop strategic plans to identify fundamentally new solutions for business problems.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.

About The Team

Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why Amazon Automated Reasoning?

• At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences.
• We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
• Inclusive Team Culture: Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness.
• Training & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
• Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.

Preferred Qualifications

• Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language