Quantum Applied Scientist, Simulation Methods and Tools, Aws Center for Quantum Computing

Amazon Amazon · Big Tech · CA, ON +1 · Research Science

This role focuses on developing numerical methods and software tools for simulating quantum processor devices, rather than AI/ML model development. The primary focus is on scientific simulation and software development within the domain of quantum computing.

What you'd actually do

  1. Simulations are a critical tool at the CQC. As an applied scientist in this role, you will help develop high quality software tools and numerical methods for simulating our devices at the circuit-QED level, allowing us to accurately and efficiently compute static and dynamical properties of our devices, such as frequencies, coupling strengths, and gate error budgets.
  2. The tools you build will directly support device development work done by CQC scientists, such as device theorists, designers, and experimentalists, on adjacent teams.
  3. You will also collaborate with these scientists to research and investigate simulation-based solutions to problems in quantum processor design and characterization, communicating your findings and delivering recommendations and examples of best practice.
  4. Research and develop methods and algorithms that could enable or improve our workflows
  5. Develop and test high-quality implementations, demonstrating them for target applications

Skills

Required

  • PhD, or Master's degree and 5+ years of science, technology, engineering or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience with programming languages such as Python, Java, C++
  • Experience implementing algorithms using both toolkits and self-developed code
  • Experience with any of the following: modeling quantum devices using circuit Quantum Electrodynamics, numerical simulation of quantum many-body systems, application of machine-learning methods and tools to science or engineering problems

Nice to have

  • Experience in professional software development
  • Experience applying theoretical models in an applied environment
  • Fluency in Python, Julia, C++, or Rust
  • Experience with QuTiP, QuantumOptics.jl, scQubits, SQcircuit, or related software packages
  • Experience with using JAX, PyTorch, or other python-based solutions for automatic differentiation or GPU acceleration of self-developed linear algebra code
  • Experience in any of the following areas: quantization of superconducting circuits, simulation of quantum real-time dynamics under fast driving, disorder and localization in quantum many-body systems, variational qu

What the JD emphasized

  • track record of significant technical contributions to scientific software packages
  • deep expertise in developing and applying numerical methods to simulate quantum many-body systems in the context of quantum processor development
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals