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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing solutions. We're seeking visionary Quantum Computing Researchers to architect breakthrough systems that will redefine industries by 2026. This role offers unparalleled opportunities to collaborate with Nobel laureates and deploy cutting-edge algorithms in real-world applications.

Our state-of-the-art facility in San Francisco's innovation district provides an environment where theoretical physics meets practical implementation. You'll contribute to projects spanning quantum cryptography, materials science simulations, and AI-quantum hybrid systems – technologies poised to transform healthcare, logistics, and renewable energy sectors.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead experimental quantum computing projects using superconducting qubit platforms
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to create quantum-machine learning frameworks
  • Publish breakthrough research in peer-reviewed journals and industry whitepapers
  • Present findings at international quantum computing conferences
  • Mentor junior researchers in quantum physics and computational theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum error correction and fault tolerance
  • Publication record in quantum computing or theoretical physics
  • Experience with cryogenic quantum hardware systems
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenic Systems Quantum Error Correction Machine Learning Theoretical Physics

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