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Quantum Computing Researcher 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek visionary researchers to develop next-gen quantum algorithms and architectures that will revolutionize industries from pharmaceuticals to logistics. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your innovations can shape the future of computation.

As part of our elite Quantum Research Division, you'll work with Nobel laureates and industry pioneers to solve previously impossible computational challenges. We provide comprehensive benefits including equity grants, flexible schedules, and dedicated R&D budgets.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experiments with superconducting qubit systems and photonic quantum processors
  • Develop error correction protocols for fault-tolerant quantum computing architectures
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish breakthrough research in top-tier journals and industry conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Quil, or Cirq)
  • Publication record in quantum information science or quantum algorithms
  • Deep understanding of quantum decoherence and error mitigation techniques
  • Experience with cryogenic systems and quantum control electronics
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

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

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