← Search all jobs

Applied Scientist, Amazon Cryptographic Libraries

Amazon

Listing collected from Amazon's career site. NextChapter is independent of Amazon.

Seattle, WA · Posted July 16, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at Amazon

More in Washington job market · All Applied Scientist jobs (53) · Technology & Software · Research jobs

More roles at Amazon

Similar jobs

Where Seattle, WA ranks

Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.

How AI is used in this kind of work

Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Amazon has filed 30 layoff notices in the last twelve months, covering 8,421 workers, most recently November 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

  • Onboarding
  • Python
  • AWS
  • Lean
  • Java

About the job

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 libcrypto. 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, working alongside senior scientists. This is the core of the role. - Specify the functional behavior of low-level cryptographic code (C, assembly) in formal notation and verify it using interactive theorem provers (HOL Light, Isabelle/HOL, or similar). - 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 constructions (ML-KEM, ML-DSA, SLH-DSA), for production use. - Collaborate with SDEs, security engineers, and partner teams to translate verified implementations into production-grade, FIPS-validated software. - Grow your expertise through publications, open-source contributions, and engagement with the broader formal-methods and cryptographic research communities.

A day in the life You take a cryptographic primitive that needs to be provably correct. Working with a senior scientist or an ARG partner, you write the formal specification of its behavior, develop the proof in an interactive theorem prover, and iterate until the machine checks it end to end. Some days you are debugging a proof obligation that does not discharge; 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, so you operate at an assurance bar most scientists never encounter this early in their career.

About the team ACL owns AWS-LC (Amazon's FIPS-validated libcrypto), the Amazon Corretto Crypto Provider (ACCP), and managed third-party cryptographic libraries, 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 Amazon's Automated Reasoning Group on formal verification. The team has senior scientists at L6 and L7 who actively mentor and collaborate, so an early-career scientist gets both research depth and production-scale reach from day one. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Coursework or research experience in one or more of: formal verification, interactive theorem proving, deductive verification, program analysis, cryptography or mathematical logic - Hands-on experience with an interactive theorem prover (HOL Light, Isabelle/HOL, Lean, Coq, or Verus) - Experience specifying or verifying low-level software (machine code, C, or assembly) - Familiarity with cryptographic primitives and their implementations - Low-level or systems programming experience in C, Rust, 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 - 142,800.00 - 193,200.00 USD annually