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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Lead to architect next-gen algorithms and drive breakthroughs in computational power. This role offers unparalleled opportunities to shape the future of AI, cryptography, and scientific discovery while working with cutting-edge quantum hardware. Your expertise will directly impact our roadmap for solving previously impossible computational challenges.

Responsibilities

  • Lead quantum algorithm development for optimization, simulation, and machine learning applications
  • Design and implement error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Publish groundbreaking research in top-tier journals and present at industry conferences
  • Mentor a multidisciplinary team of quantum physicists, computer scientists, and engineers
  • Develop strategic roadmaps for quantum advantage in commercial applications
  • Secure and manage research partnerships with academic institutions and government labs

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of hands-on experience with quantum programming (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware architectures (superconducting, trapped ion, photonic)
  • Proven track record of leading complex R&D projects with measurable outcomes
  • Strong background in high-performance computing and parallel systems
  • Exceptional ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Superconducting Qubits Machine Learning High-Performance Computing

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