Applied Scientist - Fault-Tolerant Quantum Computing, Amazon Braket

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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