Drimva

Amazon

Software Development Engineer II, Centre for Quantum Computing

$144K–$194K

Pasadena, CA · Full-time · Posted Sep 24, 2026

Experience
3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 3+ years of Object Oriented Design. Preferred: 4+ years of full software development life cycle experience.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field. Preferred: Master's degree in computer science or equivalent.

About the job

Build software and AI-enabled data systems that help researchers analyze quantum-device fabrication and experiments and accelerate device development.

What you'll do

  • Build data lakes and pipelines that unify experimental, fabrication, and metrology data.
  • Develop ML- and LLM-powered workflows, tools, agents, and recommendation systems for research and fabrication data.
  • Partner with scientists and engineers, and own system reliability, scalability, monitoring, alerting, and on-call support.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience for new and existing systems.
  • 3+ years of Object Oriented Design experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.

Nice to have

  • 4+ years of full software development life cycle experience; Master's degree in computer science or equivalent.
  • Knowledge of Machine Learning and LLM fundamentals, or experience in machine learning, data mining, information retrieval, statistics, natural language processing, research, or semiconductor fabrication.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

Machine Learning, LLM, transformer architecture

AI focus

Build AI-native experiment-analysis-recommendation workflows, LLM-powered tools and autonomous agents, ML-driven fabrication analysis, and recommendation engines.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)