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Quantum Computing Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the future of computing at Nexus Quantum Labs. We're pioneering quantum solutions for 2026 and beyond, seeking a visionary Research Lead to drive breakthroughs in quantum algorithms and error correction. Join our elite team in San Francisco where innovation meets execution.

This role demands a blend of theoretical expertise and hands-on experimentation. You'll lead a multidisciplinary team, secure cutting-edge resources, and publish groundbreaking research while collaborating with industry giants. Our state-of-the-art facility offers unparalleled access to quantum hardware and collaborative workspaces.

Competitive compensation includes equity, flexible benefits, and opportunities for global impact. If you're ready to push the boundaries of what's computationally possible, apply now to help build tomorrow's quantum ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era applications
  • Lead quantum error correction research for fault-tolerant systems
  • Manage cross-functional research teams and academic partnerships
  • Secure and manage $5M+ research budgets and quantum computing resources
  • Publish high-impact research in Nature/Science journals
  • Develop intellectual property portfolios with commercial potential
  • Present findings to C-suite executives and venture capital partners

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years quantum research experience with hardware/software integration
  • Published work in top-tier quantum computing conferences
  • Expertise in Qiskit, Cirq, or equivalent quantum frameworks
  • Proven track record of securing research funding
  • Strong background in quantum error correction protocols
  • Experience mentoring quantum research teams

Required Skills

Quantum Algorithms Error Correction Qiskit Cirq Research Leadership Quantum Hardware Machine Learning Cryptography

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