Drimva

Amazon

Applied Scientist, Quantum Algorithms, Center for Quantum Computing

$143K–$222K

Pasadena, CA +1 · Full-time · Posted Apr 29, 2026

Location
Pasadena, CA
San Francisco, CA
Education
Currently has, or is in the process of obtaining, a PhD in operations research, applied mathematics, theoretical computer science, or equivalent.

About the job

Conduct theoretical research on applications of fault-tolerant quantum computers, develop and optimize quantum algorithms, and lead research projects aligned with engineering goals.

What you'll do

  • Analyze and optimize existing algorithms, invent new algorithms, and identify application areas for fault-tolerant quantum computers.
  • Estimate algorithm resource costs for hardware architectures and communicate research through reports, papers, presentations, and collaboration.
  • Provide quantum algorithms expertise, work with stakeholders and the Quantum Error Correction team, and mentor research interns.

What they ask for

  • Currently has, or is in the process of obtaining, a 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
  • Experience driving collaborative projects from conception to delivery.

Nice to have

  • Experience with programming languages such as Python, Java, C++.
  • Quantum applications expertise, quantum error correction knowledge, high-performance computing or machine learning experience, or experience performing resource estimates.

Pay

142,800.00 - 193,200.00 USD annually (base salary); 171,600.00 - 222,200.00 USD annually (base salary)

Tools

Python, Java, C++

AI focus

Develop and analyze quantum algorithms, including in machine learning and other application domains.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)