Applied Scientist - Quantum Resource Estimation and Benchmarking, Amazon Braket

Requirements

• 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.
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Additional Information

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

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