Manager, Applied Science, Aws Center for Quantum Computing

Amazon Amazon · Big Tech · Pasadena, CA · Applied Science

Manager for a team developing and testing novel superconducting quantum devices, focusing on precision electronic measurements, device physics, fabrication, and materials science within Amazon's Center for Quantum Computing.

What you'd actually do

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

Skills

Required

  • 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 have

  • 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

What the JD emphasized

  • deep expertise in precision electronic measurement at the quantum level
  • deep technical knowledge of low-noise electrical measurements at cryogenic temperatures
  • experience in device yield analysis techniques
  • strong device physics background
  • experience in device fabrication and materials characterization