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Quantum Computing Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen computational frameworks that will redefine industries. This role offers unparalleled opportunity to shape the future of technology while working alongside Nobel-caliber researchers in our state-of-the-art Austin facility.

Our team operates at the intersection of theoretical physics, advanced mathematics, and cutting-edge engineering. You'll lead initiatives in quantum error correction, algorithm optimization, and quantum machine learning while mentoring the next generation of quantum pioneers. We provide competitive benefits, flexible work arrangements, and dedicated R&D funding for breakthrough projects.

Responsibilities

  • Design and implement quantum computing architectures targeting 2026 commercialization milestones
  • Lead cross-functional teams of physicists, engineers, and data scientists
  • Develop novel quantum algorithms for optimization and simulation challenges
  • Secure $2M+ in annual R&D funding through grant proposals and industry partnerships
  • Publish 5+ peer-reviewed papers in top-tier journals/conferences annually
  • Establish industry standards for quantum security protocols
  • Mentor junior researchers in quantum computational theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Mathematics
  • 5+ years of hands-on quantum algorithm development experience
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in quantum error correction and fault-tolerant systems
  • Proven track record of securing government/industry research grants
  • Strong background in quantum machine learning applications
  • Experience leading teams of 10+ technical professionals
  • Deep knowledge of quantum hardware architectures (superconducting, photonic, trapped ion)

Required Skills

Quantum Computing Algorithm Design Quantum Error Correction Machine Learning Research Leadership Grant Writing Superconducting Qubits Quantum Simulation

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