Hardware Developer Engineer, AWS CQC- Fab

Hardware Development Engineer

The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA is looking to hire a Hardware Development Engineer with experience in semiconductor process development and a particular expertise in machine learning who will aid in AWS's effort to bring cloud quantum computing services to its worldwide customer base. Key job responsibilities include developing and maintaining platforms for developing, evaluating, and deploying machine learning models for real-world applications. Quickly acquire knowledge of emerging technologies in generative AI to solve complex problems in the data exploration domain. Work directly with scientists and engineers to understand their data and propose frameworks for ingesting it to produce actionable metrics. Implementation of design proposals in a logical and maintainable manner. Example projects include developing an optical defect detection & classification ML vision model, establishing an active learning pipeline that improves model performance using human feedback, experience working in production ML environments, including deploying computer vision models into production environments. Experience developing automation to solve problems at scale.

A day in the life at AWS involves diverse experiences, valuing work-life harmony, and striving for flexibility as part of our working culture. We value inclusion and have employee-led affinity groups that foster a culture of inclusion. Ongoing events and learning experiences inspire us to embrace our uniqueness. Mentorship and career growth are continuously available, helping you to become a better-rounded professional.

About the team, the AWS Center for Quantum Computing recognizes that developing quantum computing is a long-term endeavor. The team is dedicated to tackling the significant challenges involved in building a functional quantum computer with enthusiasm and determination.