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
