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Applied Scientist - Quantum Resource Estimation and Benchmarking - Amazon.com
Software Engineer
Applied Scientist role focused on developing models for fault‑tolerant quantum resource estimation and workload benchmarking on AWS, leveraging quantum error correction, algorithm analysis, and cloud‑scale simulation tools.
About the role
Key Responsibilities
- Design and implement quantitative models to estimate physical qubit counts, gate depths, and error budgets for fault‑tolerant quantum algorithms.
- Develop benchmarking suites that evaluate algorithm performance across simulated and real quantum devices on AWS.
- Integrate quantum error correction techniques into resource estimation workflows to provide realistic feasibility assessments.
- Collaborate with product, engineering, and customer teams to translate model insights into roadmap decisions and technical guidance.
- Publish findings and contribute to internal knowledge bases, ensuring reproducibility and scalability of simulation pipelines.
Requirements
- Ph.D. or equivalent experience in quantum computing, quantum information science, or a closely related field.
- Strong background in quantum error correction, fault‑tolerant architectures, and algorithmic complexity analysis.
- Proficiency in Python and experience with scientific computing libraries (e.g., NumPy, SciPy) and quantum simulation frameworks.
- Hands‑on experience with AWS services and cloud‑based scientific workloads.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to diverse audiences.