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Quantum Computing Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Lead to architect the next generation of quantum algorithms and hardware prototypes. This role offers unparalleled opportunities to shape the future of computational science while working in our state-of-the-art San Francisco facility.

As part of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to overcome quantum decoherence challenges and develop fault-tolerant systems. We provide competitive compensation, flexible work arrangements, and dedicated R&D resources including access to IBM Quantum and D-Wave systems.

Responsibilities

  • Lead quantum algorithm development for optimization problems in logistics and cryptography
  • Design and implement error correction protocols for quantum processors
  • Collaborate with hardware teams to define quantum processor specifications
  • Publish groundbreaking research in peer-reviewed journals and conferences
  • Secure $2M+ in annual R&D funding through strategic grant proposals
  • Mentor a team of 5+ quantum researchers and engineers
  • Establish industry partnerships with quantum hardware manufacturers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of quantum computing research experience
  • Published work in Nature/Science or top-tier quantum journals
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Deep understanding of quantum error correction codes
  • Proven track record of securing government or corporate research grants
  • Experience leading cross-disciplinary technical teams

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Cryptography Machine Learning Superconducting Qubits

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