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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 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 Quantum Computing Research Scientists to develop next-gen algorithms and protocols that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into groundbreaking applications.

As part of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Lead experimental validation of quantum hardware-software integration
  • Publish peer-reviewed research in quantum computing journals
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal grants and industry partnerships for quantum research
  • Contribute to quantum security frameworks for post-quantum cryptography

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or condensed matter physics
  • Deep understanding of quantum decoherence and error correction
  • Experience with cryogenic quantum hardware systems
  • Strong background in linear algebra and probability theory
  • Ability to translate complex quantum concepts into practical applications

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Cryogenic Systems Quantum Cryptography Machine Learning

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