Quantum FTQC Resource Estimation & Benchmarking Scientist

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

2 days ago

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Job summary

Amazon.com Services LLC in Seattle is seeking an Applied Scientist to own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS. You will determine how many physical qubits are needed, achievable gate depths, and realistic error budgets for given algorithms on a given device.

You will contribute production‑quality code and influence technical decisions across product and customer engagements.

Qualifications

PhD in a quantitative field with focus on quantum computing.
Strong background in quantum error correction.
Experience building computational models for quantum systems.
Proficiency in Python; compiled languages for performance.
Familiarity with QEC concepts and decoding strategies.

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