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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 evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Lead to architect breakthrough algorithms and drive innovation in post-quantum cryptography. This role offers unparalleled opportunities to shape the next generation of computational paradigms while collaborating with Nobel laureates and industry pioneers.

Our state-of-the-art San Francisco facility features quantum annealing labs, AI-driven simulation environments, and dedicated research pods. We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak productivity.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams of physicists, mathematicians, and software engineers
  • Develop post-quantum cryptographic protocols resistant to quantum attacks
  • Publish research in top-tier journals and present at international conferences
  • Secure $5M+ in annual R&D funding through grant proposals
  • Mentor junior researchers and establish industry partnerships
  • Drive adoption of quantum computing standards for 2026 infrastructure

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of hands-on quantum algorithm development
  • Expertise in quantum error correction and fault tolerance
  • Published research in Nature/Science or IEEE journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Experience leading multi-disciplinary research teams
  • Deep understanding of NISQ-era limitations and mitigation strategies
  • Strong background in linear algebra and computational complexity

Required Skills

Quantum Computing Post-Quantum Cryptography Quantum Algorithms Fault Tolerance Qiskit Cirq Research Leadership Machine Learning

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