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Quantum Computing Research Lead

Nexus 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 Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Lead to architect next-gen quantum algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while working with Nobel Prize-winning mentors in our state-of-the-art facility.

As a key member of our Quantum Futures Division, you'll drive breakthrough research that directly impacts global industries. Our startup environment combines academic rigor with entrepreneurial energy, offering competitive equity packages and flexible work arrangements for top-tier talent.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead cross-functional teams of physicists, engineers, and computer scientists
  • Secure $5M+ in research grants from NSF, DARPA, and private foundations
  • Publish 3+ peer-reviewed papers annually in Nature/Science journals
  • Develop quantum-resistant cybersecurity protocols for enterprise clients
  • Collaborate with MIT and Stanford on quantum error correction research
  • Mentor PhD candidates in quantum machine learning initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Science
  • 5+ years of hands-on quantum algorithm development
  • Published research in top-tier quantum computing journals
  • Proficiency in Qiskit, Cirq, and quantum circuit optimization
  • Experience securing federal research grants
  • Deep understanding of quantum decoherence mitigation techniques
  • Strong track record of leading technical teams
  • Patent portfolio in quantum technologies preferred

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryptography Research Leadership Grant Writing Machine Learning

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