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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the San Francisco Bay.

This role offers unparalleled opportunities to shape humanity's technological future while working with cutting-edge quantum processors, cryogenic systems, and AI-assisted modeling tools. Enjoy comprehensive benefits including equity, flexible work arrangements, and dedicated R&D funding.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation challenges
  • Lead experimental validation of quantum hardware prototypes at sub-Kelvin temperatures
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to create hybrid quantum-classical computing frameworks
  • Publish breakthrough research in top-tier journals and conferences
  • Secure federal and private grants for quantum computing initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum hardware (ion traps/superconducting qubits)
  • Publication record in Nature/Science or equivalent quantum computing journals
  • Expertise in Qiskit, Cirq, or other quantum programming frameworks
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in machine learning for quantum systems
  • US citizenship or permanent residency required for government projects

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Qiskit Machine Learning Fault Tolerance Quantum Hardware

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