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Quantum Computing Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Lead to architect next-generation quantum systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of technology while working with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.

You'll lead a multidisciplinary team of quantum physicists, engineers, and AI specialists to develop breakthrough algorithms and hardware prototypes. Our work directly impacts global challenges in cryptography, drug discovery, and climate modeling. With competitive equity packages and unlimited R&D budgets, we empower our researchers to transform theoretical possibilities into tangible innovations.

Responsibilities

  • Architect and lead quantum computing research initiatives targeting 2026 technological milestones
  • Design and implement novel quantum algorithms for enterprise-scale applications
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish groundbreaking research in top-tier journals and industry conferences
  • Secure $5M+ in annual R&D funding through grant proposals and industry partnerships
  • Mentor a diverse team of 15+ quantum researchers and engineers
  • Develop patent portfolios protecting core quantum intellectual property

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 8+ years industry experience
  • Published research in Nature/Science journals or equivalent quantum computing breakthroughs
  • Expertise in quantum error correction and fault-tolerant systems
  • Proven track record of leading quantum algorithm development for commercial applications
  • Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
  • Strong background in machine learning integration with quantum systems
  • Experience securing DoD/EU quantum research grants preferred

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Systems Quantum Hardware Machine Learning Cryptography Research Leadership Grant Writing

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