Applied Scientist - Quantum Resource Estimation and Benchmarking, Amazon Braket

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

This role focuses on resource estimation and workload benchmarking for fault-tolerant quantum computing on AWS, requiring a deep understanding of quantum error correction to inform technical decisions and roadmap. The scientist will build and maintain estimation models, develop benchmarking frameworks, and contribute to production-quality code.

What you'd actually do

  1. Build and maintain FTQC resource estimation models that determine qubit counts, gate depths, and error budgets for target algorithms
  2. Develop benchmarking frameworks that evaluate compilation quality against realistic hardware constraints
  3. Produce resource estimates that inform technical decisions and feed into customer readiness work led by the Applications & Engagement team
  4. Collaborate with the QEC compilation scientists on how resource estimates feed back into code selection and optimization
  5. Connect benchmarking outputs to published materials in coordination with Braket's science and product teams

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • production-quality code
  • broad foundation in quantum error correction research
  • codify your solutions