Applied Scientist, Aws Automated Reasoning

Amazon Amazon · Big Tech · Austin, TX · Applied Science

The Applied Scientist role in AWS Automated Reasoning focuses on developing advanced and rigorous solutions for automated reasoning, privacy, and sovereignty within AWS. The candidate will solve complex problems, lead design and implementation, provide cross-organizational technical influence, and develop strategic plans for new solutions. The role involves deep technical experience in a fast-moving environment and contributes to maintaining a high bar for automated reasoning across Amazon's products and services.

What you'd actually do

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

Skills

Required

  • Ph.D. in computer science, computer engineering, or related field
  • Experience in SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.

Nice to have

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

What the JD emphasized

  • deep knowledge and understanding of your domain
  • scientific innovation
  • strategic problem solving
  • long-term quantifiable impact
  • cross-organizational technical influence
  • deep knowledge and experience
  • strategic plans
  • fundamentally new solutions
  • career development of others
  • advanced technical issues
  • deep technical experience
  • Ph.D. in computer science, computer engineering, or related field
  • Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.