LambdaRemote · San Francisco Office (Fremont St)$230k-$346kjust now
AmazonPosted today
Software Development Engineer II, Centre for Quantum Computing at Amazon scores 87 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Key job responsibilities
- Design and build data lakes and pipelines that unify experimental, fabrication, and metrology data from heterogeneous sources into a single, queryable platform for scientists and engineers
- Develop AI-native workflows that automate the experiment-analysis-recommendation cycle: ingest results, run ML models, surface insights, and propose next steps with minimal human intervention
- Build LLM-powered tools and autonomous agents that allow researchers to query, visualize, and reason over fabrication and experimental data using natural language
- Partner directly with research scientists, process engineers, and hardware teams to understand their problems deeply and translate research needs into working software
- Implement ML-driven analysis systems (e.g., automated defect detection, yield prediction, process optimization) that operate on live fabrication data
- Design and build recommendation engines that evaluate design-of-experiment tradeoffs (cost, time, performance) and surface actionable suggestions to research teams
- Own the reliability, scalability, and operational health of the systems you build, including monitoring, alerting, and on-call support
- Contribute to the technical direction of the Device Lifecycle team through design documents, architecture reviews, and code reviews
About the team
You will be joining the Device Lifecycle software development team within the AWS Center for Quantum Computing. Our team builds the software that enables scaling up quantum computing technologies, from fabrication execution systems to AI-powered research tools. We are a small, high-impact team where every engineer's work directly shapes the pace of quantum device development.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 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
Preferred qualifications
- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with research and investigation skills or equivalent
- Experience in semiconductor fabrication, foundry operations, or cleanroom environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Pasadena - 143,700.00 - 194,400.00 USD annually
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Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI Agents and Nlp. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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