Sr. Applied Scientist, AWS Automated Reasoning

Overview

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.

• 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.

This is a unique and rare opportunity to get in early on a fast‑growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start‑up environment and make a large business and customer impact.

Diverse Experiences 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.

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

• Experience programming in OCaml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, CA, Santa Clara -  -  USD annually

USA, MA, Boston -  -  USD annually

USA, NY, New York -  -  USD annually

USA, OR, Portland -  -  USD annually

USA, TX, Austin -  -  USD annually

USA, WA, Seattle -  -  USD annually