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Information Technology 🏢 Full Time ⭐️ Verified

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 applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen computational systems that will redefine industries. You'll collaborate with Nobel laureates, publish breakthrough research in Nature Physics, and transform theoretical algorithms into scalable quantum solutions.

Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic engineering labs. This role combines deep scientific rigor with entrepreneurial innovation, perfect for researchers ready to shape humanity's technological horizon.

Responsibilities

  • Design and implement quantum algorithms for optimization problems in finance, logistics, and drug discovery
  • Lead cross-functional teams of physicists, engineers, and AI specialists
  • Develop error-correction protocols for scalable quantum systems
  • Secure $5M+ in research grants from NSF and DARPA
  • Publish 3+ high-impact papers annually in top-tier journals
  • Partner with Fortune 100 companies to prototype quantum applications
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years of hands-on quantum algorithm development
  • Published research in Nature/Science/Physical Review X
  • Expertise in quantum error correction and fault tolerance
  • Proficiency with Qiskit, Cirq, or equivalent quantum frameworks
  • Experience leading R&D teams with >10 members
  • Strong background in machine learning for quantum systems
  • US citizenship required for government project access

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Qiskit Machine Learning Fault Tolerance Research Leadership Scientific Publishing

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