Job description

Amazon Braket is investing in fault-tolerant quantum computing capabilities. We are looking for an Applied Scientist to own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS. You will answer the fundamental questions: how many physical qubits are needed, what gate depths are achievable, and what error budgets are realistic for a given algorithm on a given device. Your models will inform technical decisions, customer conversations, and our roadmap. This role requires more than resource estimation methodology alone. You need a broad foundation in quantum error correction research to reason about the full picture: how code choices affect resource requirements, how logical circuit structure impacts physical costs, and how benchmarking results feed back into the system. You will be part of a small team of scientists and engineers, and we expect you to codify your solutions in production-quality code and contribute directly to the codebase alongside your teammates. Key job responsibilities - Build and maintain FTQC resource estimation models that determine qubit counts, gate depths, and error budgets for target algorithms - Develop benchmarking frameworks that evaluate compilation quality against realistic hardware constraints - Produce resource estimates that inform technical decisions and feed into customer readiness work led by the Applications & Engagement team - Collaborate with the QEC compilation scientists on how resource estimates feed back into code selection and optimization - Connect benchmarking outputs to published materials in coordination with Braket's science and product teams - Stay current with the rapidly evolving QEC literature and incorporate new results into estimation models About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. - Knowledge of programming languages such as C/C++, Python, Java or Perl - PhD in Physics, Computer Science, Applied Mathematics, or related field with focus on quantum computing - Research background in quantum error correction (not limited to resource estimation alone) - Experience building computational models for quantum systems - Strong programming skills in Python; familiarity with at least one compiled language (C++, Rust, or Julia) for performance-sensitive implementations - Familiarity with QEC concepts: error correction codes, logical operations, decoding strategies - Experience with resource estimation for fault-tolerant quantum algorithms (e.g., using tools like Microsoft QRE, or custom estimation frameworks) - Background in error correction code analysis and logical circuit design - Experience benchmarking quantum hardware or quantum software toolchains - Familiarity with multiple qubit modalities (superconducting, trapped ion, or neutral atom) - Publications in resource estimation, QEC, or fault-tolerant quantum computation - Experience translating technical results into customer-facing communications or product definitions 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 amazon.jobs 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 amazon.jobs . USA, NY, New York - 172,400.00 - 223,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Build and maintain FTQC resource estimation models that determine qubit counts, gate depths, and error budgets for target algorithms
Develop benchmarking frameworks that evaluate compilation quality against realistic hardware constraints
Produce resource estimates that inform technical decisions and feed into customer readiness work led by the Applications & Engagement team
Collaborate with the QEC compilation scientists on how resource estimates feed back into code selection and optimization
Connect benchmarking outputs to published materials in coordination with Braket's science and product teams
Stay current with the rapidly evolving QEC literature and incorporate new results into estimation models
About the team
Diverse Experiences
Inclusive Team Culture
Mentorship & Career Growth
Work/Life Balance
Knowledge of programming languages such as C/C++, Python, Java or Perl
PhD in Physics, Computer Science, Applied Mathematics, or related field with focus on quantum computing
Research background in quantum error correction (not limited to resource estimation alone)
Experience building computational models for quantum systems
Strong programming skills in Python; familiarity with at least one compiled language (C++, Rust, or Julia) for performance-sensitive implementations
Familiarity with QEC concepts: error correction codes, logical operations, decoding strategies
Experience with resource estimation for fault-tolerant quantum algorithms (e.g., using tools like Microsoft QRE, or custom estimation frameworks)
Background in error correction code analysis and logical circuit design
Experience benchmarking quantum hardware or quantum software toolchains
Familiarity with multiple qubit modalities (superconducting, trapped ion, or neutral atom)
Publications in resource estimation, QEC, or fault-tolerant quantum computation
Experience translating technical results into customer-facing communications or product definitions

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awspythonjavarust

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave