Amazon Sr Software Development Engineer Center Quantum Computing 

United States, California, Pasadena 

7909354

The AWS Center for Quantum Computing (CQC) is seeking a Sr. Software Development Engineer to lead the technical direction of our software team responsible for accelerating the hardware operations flywheel. You will work closely with other Software Development Engineers, Research Scientists, and a Technical Program Manager.Key job responsibilities
* You will lead the system architecture design, introduce best practices and influence the team’s long-term decisions to ensure high-quality products. You will also mentor and develop other engineers.
* You will work directly with scientists and engineers to understand their problems and propose workable solutions. Translate user stories into software design documents demonstrating sensible trade-offs between complexity and delivery.
* You will design software and implement it in a logical and maintainable manner. Taking ownership over the stability and quality of the software stack by identifying, proposing, and implementing features that will accelerate our realization of quantum computing technologies.
* You will identify bottlenecks, pain points, integration issues, and develop improvements to the fabrication team's workflows.Example projects include:* Build and maintain data streaming pipelines from our fabrication tools.
* Deploying forecasting ML models to production for predictive maintenance of our fabrication tools.
* Develop features for streamlining fabrication planning, timeline estimation and retrospective analysis of product flows.
* Design database schemas modeling processes and artifacts of our device lifecycle workflow

- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- Experience deploying ML models to production.
- MSc or PhD in a STEM discipline
- Experience working with scientists in a research or fabrication environment
- Experience building software using AWS services