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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to transform theoretical quantum mechanics into practical applications that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research in quantum algorithms, cryptography, and computational modeling.

This role offers competitive equity packages, flexible work arrangements, and collaboration with Nobel laureates and industry pioneers. Shape the future of technology while solving humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Collaborate with AI/ML teams to hybrid classical-quantum computing frameworks
  • Secure research funding through NSF and DoD grants
  • Mentor junior researchers in quantum physics and computer science

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Publication record in Nature/Science or equivalent journals
  • Experience with superconducting or ion-trap quantum systems
  • Strong mathematical background in linear algebra and probability theory
  • US citizenship or active security clearance preferred

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Cryogenics Superconducting Systems Quantum Cryptography Fault-Tolerant Computing Theoretical Physics Machine Learning

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