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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek an innovative Quantum Computing Research Lead to drive breakthroughs in quantum algorithms, error correction, and scalable architectures. You'll lead a multidisciplinary team in developing next-gen quantum systems that will redefine industries from healthcare to finance.

This role offers unparalleled opportunities to shape the quantum landscape while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco provides the perfect ecosystem for transformative research.

Responsibilities

  • Design and implement quantum algorithms with practical 2026 applications
  • Lead research on quantum error correction techniques for fault-tolerant systems
  • Develop scalable quantum hardware architectures beyond current limitations
  • Publish peer-reviewed papers and present at top-tier conferences
  • Mentor cross-functional teams of physicists, engineers, and computer scientists
  • Secure federal and private research funding for quantum initiatives
  • Collaborate with industry partners to translate research into commercial solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of experience in quantum computing research
  • Published research in Nature/Science or equivalent journals
  • Expertise in quantum circuit design and simulation frameworks
  • Strong background in superconducting or photonic qubit systems
  • Experience leading technical teams and managing research budgets
  • Deep understanding of quantum cryptography and communication protocols
  • Proven ability to secure competitive research grants

Required Skills

Quantum Computing Quantum Algorithms Error Correction Superconducting Qubits Quantum Cryptography Research Leadership Scientific Publishing FPGA Development Cryogenics Machine Learning

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