Quantum Fault-Tolerance Resource Estimation Scientist

Amazon Inc.; New York (NY); Hybride; USD 172 000 - 223 000; Plein temps

Avantages offerts par ce poste

RSUs

Health insurance

Résumé du poste

Amazon Development Center U.S., Inc. seeks an Applied Scientist to own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS.

You will address how many physical qubits are needed, achievable gate depths, and realistic error budgets for given algorithms on a device. You will codify solutions in production-quality code and work with a small team of scientists and engineers to advance the code base and model deployment.

Qualifications

• Knowledge of programming languages: 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).
• Experience building computational models for quantum systems.
• Strong Python skills; familiarity with a compiled language (C++, Rust, or Julia).
• Familiarity with QEC concepts: error correction codes, logical operations, decoding strategies.

Responsabilités

• 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.

Connaissances

C/C++

Python

Java

Perl

Formation

PhD in Physics

Outils

Microsoft QRE

Description du poste

Amazon Development Center U.S., Inc. seeks an Applied Scientist to own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS.

You will address how many physical qubits are needed, achievable gate depths, and realistic error budgets for given algorithms on a device. You will codify solutions in production-quality code and work with a small team of scientists and engineers to advance the code base and model deployment.