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Quantum Computing Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Lead to architect the next generation of quantum algorithms and drive breakthroughs in cryptography, material science, and AI optimization. As a key member of our R&D division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including access to quantum annealers and superconducting qubit arrays. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for cutting-edge experimentation.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead cross-functional teams of physicists, engineers, and computer scientists
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Secure $5M+ in federal research grants and private investments
  • Mentor PhD researchers and develop quantum computing curriculum
  • Partner with AWS/Google/IBM quantum cloud services for deployment
  • Patent quantum methodologies with commercialization potential

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years hands-on experience with quantum annealing or superconducting qubits
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in quantum error correction and fault-tolerant systems
  • Proven track record of securing government research grants
  • Proficiency in Qiskit, Cirq, and quantum circuit optimization
  • Strong background in machine learning and high-performance computing

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Quantum Error Correction Research Leadership Grant Writing Machine Learning Qiskit

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