Applied Scientist, Quantum Algorithms, Center for Quantum Computing

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

This role focuses on theoretical research and development of new quantum algorithms for fault-tolerant quantum computers, collaborating with scientists and engineers, publishing research, and mentoring interns. It involves analyzing and optimizing existing algorithms, discovering new application areas, and understanding the interplay with quantum error correction. The role requires a PhD in a relevant field and experience in publications or patents.

What you'd actually do

  1. Collaborate with other members of the Quantum Algorithms Team and our academic collaborators, to analyze and optimize existing quantum algorithms
  2. Think big to invent new quantum algorithms and discover new application areas for fault-tolerant quantum computers
  3. Provide subject matter expertise on the topic of quantum algorithms, and communicate the latest developments to the broader quantum computing team
  4. Work with internal and external stakeholders to strengthen the long-term value proposition of quantum computing
  5. Interact with the Quantum Error Correction team to understand the interplay between quantum algorithms and quantum error correction

Skills

Required

  • PhD in operations research, applied mathematics, theoretical computer science, or equivalent
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience driving collaborative projects from conception to delivery

Nice to have

  • Experience with programming languages such as Python, Java, C++
  • Domain expertise in prominent quantum applications fields, such as quantum chemistry, simulation, machine learning, optimization, cryptography, sensing, differential equations, etc.
  • Deep understanding of the impact of quantum error correction on the execution of quantum algorithms
  • Experience with high-performance computing, or machine learning techniques
  • Experience performing resource estimates to quantify the costs of running quantum applications within a given hardware architecture

What the JD emphasized

  • publication track record
  • patents or publications at top-tier peer-reviewed conferences or journals