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