Applied Scientist, Aws Automated Reasoning

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

This role focuses on automated reasoning, privacy, and sovereignty within AWS. The candidate will solve complex problems, lead design and implementation of solutions, provide cross-organizational technical influence, develop strategic plans for new solutions, and mentor others. The role involves working in a fast-growing segment of AWS, shaping technology, product, and business. Experience in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, and program analysis is required. Preferred qualifications include experience with O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala, or related languages.

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

  • PhD or Master's degree
  • Experience in SAT
  • Experience in SMT
  • Experience in mechanical theorem proving
  • Experience in symbolic simulation
  • Experience in programming language type systems
  • Experience in program analysis

Nice to have

  • Experience programming in O'Caml
  • Experience programming in Dafny
  • Experience programming in Haskell
  • Experience programming in Kotlin
  • Experience programming in Lean
  • Experience programming in Rust
  • Experience programming in Scala
  • Experience programming in related languages

What the JD emphasized

  • deep knowledge and understanding of your domain and scientific innovation
  • long-term quantifiable impact
  • cross-organizational technical influence
  • deep knowledge and experience
  • fundamentally new solutions
  • advanced technical issues