Sr Applied Scientist, Amazon Cryptographic Libraries

Amazon; Berwick (Columbia County); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is hiring for Sr Applied Scientist in the Amazon Cryptographic Libraries team to develop machine-checked proofs for cryptographic implementations and contribute to post-quantum algorithm development. You will work with formal verification tools and interact with a team of senior scientists to ship proofs that underpin AWS services.

The role emphasizes mentorship, research publications, and production-scale impact across AWS services, with a strong focus on verification and cryptographic

Qualifications

• PhD or equivalent research experience in a relevant field.
• Experience with formal methods, logic, SAT/SMT, theorem proving, model checking, or program analysis.

Responsibilities

• Develop machine-checked proofs of correctness for cryptographic implementations.
• Specify low-level cryptographic code behavior in formal notation and verify with provers.
• Apply formal methods and rigorous testing to a security-critical codebase.

Skills

Formal verification

Satisfiability solving

Theorem proving

Education

PhD or equivalent research experience

Tools

HOL Light

CBMC

Verus

Lean

Job description

Sr Applied Scientist, Amazon Cryptographic Libraries

Job ID: 10522631 | Amazon.com Services LLC

The Amazon Cryptographic Libraries(ACL) team builds the cryptography that AWS services and a growing open-source community depend on, including AWS-LC, our FIPS-validated open-source cryptographic library. As an Applied Scientist on the team, your primary focus will be formal verification: building machine-checked proofs that cryptographic implementations are correct. You will also contribute to algorithm implementation, assembly level optimization, and the adoption of post-quantum cryptography. You will work alongside senior scientists on the team, building deep expertise in an environment where your proofs and code ship to effectively every AWS service. This is a role where an early-career scientist gets both rigorous mentorship and immediate production-scale impact.

Key job responsibilities

• Develop and maintain machine-checked proofs of correctness for cryptographic implementations in AWS-LC.
• Specify the functional behavior of low-level cryptographic code (Rust, C, assembly) in formal notation and verify it using both automatic and interactive provers, such as HOL-Light, Verus and CBMC.
• Apply formal methods, program analysis, and rigorous testing to raise the assurance bar of a security-critical, widely deployed codebase.
• Contribute to the implementation and optimization of cryptographic algorithms, including post-quantum algorithms (ML-KEM, ML-DSA, SLH-DSA) for production use.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.
• Publish patents and peer-reviewed articles and present your research both internally and externally.

A day in the life

You take a cryptographic algorithm that needs to be provably correct and write the formal specification of its behavior, the code and the proof of correctness. You develop the proof in an interactive theorem prover, assisted by state-of-the-art AI models and iterate until the machine checks it end to end. Some days you are debugging a proof obligation; other days you are reading a paper on a new verification technique or helping refine an algorithm implementation, so it is both fast and amenable to proof. Your proofs back code that is validated for FIPS and deployed across AWS.

About the team

ACL owns AWS-LC (Amazon's FIPS-validated cryptographic library) and manages third-party cryptographic libraries. We build the cryptographic foundation under nearly every AWS service and a growing set of external open-source projects. Applied Scientists on the team own algorithm-level and assembly performance work and partner deeply with AWS's Automated Reasoning Group on formal verification.

Basic Qualifications

• PhD or equivalent research experience.
• Experience in any of the following areas: mathematical logic, formal verification, satisfiability solving (eg SAT/SMT), mechanical theorem proving, model checking, or program analysis.

Preferred Qualifications

• Hands-on experience with automatic or interactive program verification tools, such as HOL Light, CBMC, Verus, or Lean.
• Experience specifying or verifying low-level software (machine code or assembly).
• Familiarity with cryptographic primitives and their implementation.
• Low-level or systems programming experience in Rust, C or assembly.
• Familiarity with post-quantum cryptography (lattice-based, code-based, or hash-based schemes).

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

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