Scientist, Systems Modeling

Job Description

Job Title: Applied Scientist – Systems Modeling. Location: Los Angeles County, California

AWS Center for Quantum Computing is building fault-tolerant quantum computing systems; This role focuses on developing advanced system modeling and optimization tools; You will work closely with domain experts to integrate and improve simulation models, helping drive architectural decisions and guide future quantum hardware development.

Responsibilities:

• Build system modeling tools using software libraries for machine learning, optimization, and workflow orchestration
• Integrate and maintain a shared modeling library with modules from domain experts;
• Develop surrogate models and proxy metrics to balance simulation accuracy and speed
• Improve abstractions and performance of existing system models;
• Explore and implement new modeling frameworks and methods
• Collaborate with software engineering teams to improve infrastructure and create dashboards that highlight tradeoffs and bottlenecks

Qualifications:

• PhD or Master's degree with 5+ years of experience in Computer Science, Computer Engineering, Physics, Electrical Engineering, or a related field
• Strong programming skills in Python, Julia, or similar languages;
• Track record of academic or industry contributions through publications, talks, patents, or open-source work

Preferred:

• Experience in quantum computing applications, quantum error correction, or quantum device physics
• Background in system modeling and design optimization for classical computer systems;
• Experience using ML/optimization frameworks such as JAX, PyTorch, BoTorch, PyMC
• Familiarity with differentiable programming and multi-disciplinary design optimization
• Experience with high-performance or distributed computing environments

Compensation & Benefits:

• Competitive base pay ($136K–$223.4K depending on location and experience)
• Equity, sign-on bonuses, and full medical and financial benefits package;
• Inclusive workplace that supports equal opportunity, with accommodations available for candidates with disabilities