Senior Design Automation Engineer, Software, Center for Quantum Computing

Amazon • San Francisco, CA

5d

About The Position

The Center for Quantum Computing (CQC) is a multi-disciplinary team of
scientists, engineers, and technicians, on a mission to develop a fault-tolerant
quantum computer.

We are looking to hire a Senior Design Automation Engineer to join our growing
software team. You will work closely with our superconducting chip design teams
to enable their working designing, simulating, and improving the performance of
our quantum devices. The ideal candidate should be able to translate high-level
science requirements into software implementations (e.g. Python APIs/frameworks,
automation routines, database schemas, infrastructure-as-code setups) that are
performant, scalable, and intuitive. This requires someone who (1) has a strong
desire to work within a team of scientists and engineers, and (2) demonstrates
ownership in initiating and driving projects to completion. This role has a
particular emphasis on working directly with chip designers to develop
scientific software for automating, scaling, and optimizing the quantum device
design process.

Inclusive Team Culture
Here at Amazon, 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 conferences, inspire us
to never stop embracing our uniqueness.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the
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.

Mentorship & 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.

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.

Export Control Requirement
Due to applicable export control laws and regulations, candidates must be either
a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card
holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or
be able to obtain a US export license. If you are unsure if you meet these
requirements, please apply and Amazon will review your application for
eligibility.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience working with scientists in a research environment
• Experience with the full software development lifecycle (planning, design, implementation, testing, deployment, and maintenance)
• Experience setting up and running high-performance computing (HPC) workflows
• Experience running physics simulations using Python

Nice To Haves

• Experience with chip design and layout software
• Experience with superconducting quantum computing
• Experience with common open-source scientific software
• Experience with AWS tools and services (or more generally, cloud computing)
• Experience with releasing open source software and/or publishing research papers

Responsibilities

• Work with designers to build a quantum processor design automation flow. This will involve a combination of writing new software and influencing the working model of our scientist collaborators on the design team.
• Develop a shared Python library for analysis and optimization routines that can be re-used across designs.
• Profile and improve the performance of design, simulation, & analysis tools to enable scaling to larger devices.
• Leverage infrastructure-as-code to define and orchestrate high-performance computing (HPC) workloads.
• Make changes to the database and UI as necessary to capture and visualize design progress and performance.
• Look for opportunities to accelerate design workflows by taking advantage of the latest advancements in scientific computing, machine learning, and open-source chip layout and design software.
• Empower scientists to actively contribute to the codebase through mentorship and documentation.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree