Quantum Resource Estimation & Benchmarking Scientist

Amazon; San Francisco (CA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon is seeking an Applied Scientist for Quantum Resource Estimation and Benchmarking to contribute to their quantum computing capabilities. You will own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS, informing technical decisions and customer interactions.

The ideal candidate will possess a PhD in Physics or related fields, have strong Python skills, and experience in quantum error correction and computational models. This role is based in San Francisco, California, with a salary ranging from $142,800 to $193,200 annually.

Qualifications

• Research background in quantum error correction focused on resource estimation.
• Experience building computational models for quantum systems.
• Familiarity with multiple qubit modalities (superconducting, trapped ion, or neutral atom).

Responsibilities

• Build and maintain FTQC resource estimation models.
• Develop benchmarking frameworks for compilation quality evaluation.
• Produce resource estimates for technical decisions and customer readiness.

Skills

Knowledge of programming languages such as C/C++, Python, Java, or Perl

Strong programming skills in Python

Familiarity with QEC concepts

Education

PhD in Physics, Computer Science, Applied Mathematics, or related field

Tools

Microsoft QRE

Job description

Amazon is seeking an Applied Scientist for Quantum Resource Estimation and Benchmarking to contribute to their quantum computing capabilities. You will own resource estimation and workload benchmarking for fault-tolerant quantum workloads on AWS, informing technical decisions and customer interactions.

The ideal candidate will possess a PhD in Physics or related fields, have strong Python skills, and experience in quantum error correction and computational models. This role is based in San Francisco, California, with a salary ranging from $142,800 to $193,200 annually.