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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop next-generation algorithms and hardware architectures to solve previously unsolvable problems. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility in San Francisco's innovation corridor.

We offer unparalleled resources, competitive equity packages, and a culture where breakthrough thinking is celebrated. Shape the future of computation and contribute to humanity's technological leap forward.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Publish peer-reviewed research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal and private research funding through grant proposals
  • Develop error-correction frameworks for fault-tolerant quantum systems
  • Collaborate with industry partners to commercialize quantum innovations

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Expertise in quantum circuit design and quantum error correction codes
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in superconducting or trapped-ion quantum systems
  • Demonstrated track record of high-impact research publications
  • Experience with cryogenic engineering and quantum control systems
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Superconducting Qubits Error Correction Q# Machine Learning Research Methodology

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