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Quantum Computing Research Scientist 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop next-generation quantum algorithms and contribute to breakthroughs that will redefine computing paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities with leading physicists and engineers.

This role offers competitive compensation, equity, and comprehensive benefits including flexible work arrangements, professional development stipends, and access to exclusive industry conferences.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Conduct cutting-edge research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to integrate quantum software with emerging quantum processors
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to quantum education initiatives
  • Secure external funding through NSF, DOE, and industry partnerships

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development or quantum error correction
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Track record of peer-reviewed publications in quantum computing
  • Experience with high-performance computing environments
  • Ability to communicate complex concepts to technical and non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Python High-Performance Computing Research Methodology

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