Applied Scientist - Quantum Resource Estimation and Benchmarking

Amazon
Seattle, WA
Category Engineering
Job Description
Role Overview

We are looking for an Applied Scientist to own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS. You will answer fundamental questions about physical qubits, gate depths, and error budgets for a given algorithm on a given device.

What You Will Do

Build and maintain FTQC resource estimation models, develop benchmarking frameworks, produce resource estimates, and collaborate with the QEC compilation scientists.

Why It Might Be a Fit

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.

Requirements

  • PhD in Physics, Computer Science, Applied Mathematics, or related field with focus on quantum computing
  • Research background in quantum error correction
  • 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

Benefits

  • Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave
  • Sign-on payments and restricted stock units (RSUs)
  • Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
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