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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum innovation. We're pioneering next-generation computing solutions that will redefine technological boundaries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms and hardware prototypes. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum cryptography, error correction, and machine learning integration.

We offer competitive equity packages, flexible work arrangements, and a dedicated research budget. Your work will directly impact industries ranging from pharmaceuticals to aerospace, accelerating breakthroughs previously deemed impossible. If you're passionate about solving humanity's most complex problems through quantum mechanics, this is your calling.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Develop error mitigation techniques for quantum processors
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in top-tier journals
  • Lead cross-functional projects with AI and materials science divisions
  • Secure federal and private research grants
  • Mentor junior researchers and interns

Qualifications

  • PhD in Physics, Computer Science, or related field
  • 3+ years of quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum information theory
  • Experience with superconducting or trapped-ion qubits
  • Strong background in linear algebra and probability theory
  • Ability to translate complex concepts into actionable research plans

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Q# Superconducting Qubits Machine Learning Cryptography

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