Applied Science Manager, Center for Quantum Computing

Amazon • San Francisco, CA

21h • Onsite

About The Position

The Amazon Center for Quantum Computing (CQC) is seeking to hire an Applied Science Manager to innovate in physical design and simulation methods, and develop the software stack used to design superconducting quantum computers. This role involves making an impact on quantum computing hardware development through computational science and engineering, working with scientists and engineers from diverse backgrounds in a multidisciplinary environment. The manager will lead a team developing scientific software for quantum electronic design automation and is expected to advance the state of the art for computational science in service of realizing a fault-tolerant quantum computer.

Requirements

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 3+ years of scientists or machine learning engineers management experience
• Experience programming in Java, C++, Python or related language

Nice To Haves

• Experience hiring and growing top talent
• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
• Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Knowledge of any of the following: computational electromagnetics, cryogenic electronics, VLSI physical design, electronic design automation, numerical modeling and simulation, superconducting qubits and quantum computing

Responsibilities

• Hire and develop Applied Scientists that build physical design and simulation software
• Partner with science teams to understand needs and drive adoption of improved methods and tooling
• Influence engineering team development priorities in high-performance computing infrastructure
• Manage tactical and strategic initiatives with scientific projects pursued within team
• Enable creative and innovative experimentation while striving for operational excellence

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

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