Amazon Software Engineer Fabrication Support Center Quantum Computing 

United States, California, Pasadena 

659837723

Key job responsibilities
* Build pipelines that automate data ingestion and sanitization from fabrication instruments in real time
* Build and maintain interfaces to the databases to enable quick storage, retrieval, and processing of measurements
* Build a Machine Learning pipeline to detect defects on wafer microscope images
* Identify bottlenecks, pain points, integration issues, and develop designs and improvements to the fabrication team’s workflowsA day in the life
The lifetime of your projects will likely begin with a lot of discussion and negotiation with our scientists and engineers to translate their software and hardware feature requests into design proposals that demonstrate sensible trade-offs between complexity and delivery. Once a design proposal has been accepted, you will implement it in a logical and maintainable manner. You will also be encouraged to take ownership over the stability and quality of the software and hardware stack by identifying, proposing, and implementing features that will accelerate our realization of quantum computing technologies.
Pasadena, CA, USA

- 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
- Experience programming with at least one software programming language
- Experience with Web Development
- Experience programming with Python or Julia
- Experience working with SQL databases

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with fine-tuning ML models and building MLOps workflows
- Experience integrating fabrication tools into a network using SECS/GEM protocols, Fabguard or JMP.
- Experience working with scientists in a research environment
- Experience with AWS tools and services