Amazon
Company
Hardware Developer Engineer, AWS CQC- Fab
US, CA, Pasadena
Job Description
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.
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.
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