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Quantum Computing Research Lead (2026 Vision)

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing for 2026. We're seeking a visionary Research Lead to architect breakthrough solutions that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for ambitious innovators.

This role demands a strategic thinker who can translate theoretical quantum mechanics into practical applications while mentoring next-gen researchers. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications in cryptography and materials science
  • Architect fault-tolerant quantum computing systems with 1000+ qubit scalability
  • Publish 3+ peer-reviewed papers annually in Nature/Science journals
  • Secure $2M+ in annual research grants from NSF and DARPA
  • Mentor a cross-functional team of 15 quantum physicists and engineers
  • Develop IP strategy for 50+ quantum-related patents
  • Partner with Fortune 100 companies to prototype 2026 quantum use cases

Qualifications

  • PhD in Quantum Physics/Computer Science with 8+ years of R&D leadership
  • Published research in top-tier quantum computing journals (2018-2023)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of securing government/industry research funding
  • Deep knowledge of quantum machine learning frameworks
  • Experience leading teams developing quantum hardware prototypes
  • Strong background in cryogenic engineering and superconducting systems
  • Fluency in quantum programming languages (Qiskit, Cirq, Q#)

Required Skills

Quantum Computing Fault-Tolerant Systems Quantum Algorithms Cryogenic Engineering Qiskit Research Leadership Patent Strategy Quantum Machine Learning

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