Applied Scientist - Quantum Resource Estimation and Benchmarking, Amazon Braket
Core
Build and maintain fault-tolerant quantum computing (FTQC) resource estimation models and benchmarking frameworks to determine qubit counts, gate depths, and error budgets for target algorithms on AWS.
Role type
Applied Scientist (Quantum Resource Estimation & Benchmarking)
Builds
Production-quality resource estimation models and benchmarking frameworks for fault-tolerant quantum workloads
Domain
Quantum Computing / Fault-Tolerant Quantum Computing (FTQC)
Deliverable
production ML models
Required skills
Quantum error correction research, computational modeling for quantum systems, Python programming, compiled languages (C++, Rust, or Julia), QEC concepts (codes, logical operations, decoding strategies)
Preferred skills
Resource estimation for FTQC algorithms, error correction code analysis, logical circuit design, quantum hardware benchmarking, multi-qubit modality familiarity, technical-to-customer communication
Technologies
Python, C++, Rust, Julia, Microsoft QRE
Responsibilities
Build FTQC resource estimation models; Develop benchmarking frameworks; Produce resource estimates for technical decisions; Collaborate on code selection and optimization; Connect benchmarking outputs to published materials; Incorporate new QEC literature into models
Seniority
Senior, hands-on IC
