Fault-Tolerant Quantum Resource Estimation Scientist

Amazon; Seattle (WA); Hybrid; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Braket seeks an Applied Scientist to own resource estimation and benchmarking for fault‑tolerant quantum workloads on AWS. You’ll model qubit counts, gate depths, and error budgets for target algorithms, and develop production‑quality code with the team to inform decisions, customer conversations, and roadmap priorities.

You will work with QEC researchers to ensure resource estimates align with code selection and optimization while staying current with QEC literature and publishing

Qualifications

• 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

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

Skills

Python

C/C++

Quantum computing

QEC knowledge

Education

PhD in Physics or related field (quantum computing)

Tools

Microsoft QRE

Custom estimation frameworks

Job description

Amazon Braket seeks an Applied Scientist to own resource estimation and benchmarking for fault‑tolerant quantum workloads on AWS. You’ll model qubit counts, gate depths, and error budgets for target algorithms, and develop production‑quality code with the team to inform decisions, customer conversations, and roadmap priorities.

You will work with QEC researchers to ensure resource estimates align with code selection and optimization while staying current with QEC literature and publishing