New offer - be the first one to apply!
August 21, 2025
Mid • On-site
$105,600 - $185,000/yr
Pasadena, CA
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
Key job responsibilities & Preferred Qualifications
* Develop and maintain 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:
* Develop 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
*Why AWS*
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
About the team
The AWS Center for Quantum Computing recognizes that developing quantum computing is a long-term endeavor, not a quick process. The team is dedicated to tackling the significant challenges involved in building a functional quantum computer. We are approaching this ambitious goal with enthusiasm and determination.
- Experience working in production ML environments, including deploying computer vision models into production environments.
- Experience developing automation to solve problems at scale
- 2+ years of non-internship experience in system design, including design patterns, reliability and scaling aspects
- MSc or PhD in a STEM discipline
- Experience working with scientists in a research environment
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Cloudformation or AWS Cloud Development Kit (CDK)
- Experience deploying and maintaining Retrieval-Augmented Generation (RAG) models with generative AI in a production environment
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.