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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing applications that will redefine industries. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum lab, contributing to breakthroughs in cryptography, AI optimization, and molecular modeling. This role offers unparalleled opportunities to shape humanity's technological future while enjoying Silicon Valley's premier benefits package.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead research initiatives in quantum error correction and decoherence mitigation
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish peer-reviewed research and present findings at global tech conferences
  • Secure patents for novel quantum methodologies and IP protection
  • Mentor junior researchers and drive quantum literacy across departments

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum mechanics principles and tensor networks
  • Experience with superconducting or trapped-ion quantum systems
  • Strong mathematical background in linear algebra and probability theory
  • Track record of translating theoretical concepts into practical applications

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Physics Cryptography Machine Learning Tensor Networks Superconducting Systems Q# Research Methodology

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