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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We're seeking visionary research scientists to develop next-gen quantum algorithms and solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 1000-qubit quantum processors and a collaborative ecosystem of Nobel laureates and industry pioneers.

As a key member of our Quantum Research Division, you'll contribute to breakthroughs in cryptography, materials science, and AI optimization. We provide competitive equity packages, flexible hybrid work arrangements, and a culture that celebrates intellectual curiosity. Shape the future of computation with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to validate quantum processor performance
  • Publish research in top-tier journals and present at international conferences
  • Lead cross-functional projects with AI and materials science divisions
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum information theory or quantum cryptography
  • Experience with superconducting or trapped-ion quantum processors
  • Strong background in linear algebra and complex analysis
  • Ability to secure competitive research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Quantum Cryptography Superconducting Processors Fault Tolerance Research Funding Linear Algebra

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