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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen computational solutions that will redefine industries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications. This role represents a rare opportunity to shape the future of computation while collaborating with Nobel laureates and industry pioneers.

Responsibilities

  • Lead multidisciplinary research teams in developing quantum algorithms for practical applications
  • Architect quantum computing infrastructure optimized for error correction and scalability
  • Collaborate with Fortune 500 partners to implement quantum solutions in finance, logistics, and healthcare
  • Publish peer-reviewed research in top-tier journals and present findings at global conferences
  • Secure $5M+ in government grants and private sector funding
  • Mentor postdoctoral researchers and PhD candidates in quantum information science
  • Drive patent strategy for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science from Tier 1 institution
  • 5+ years of hands-on experience with quantum hardware (superconducting, trapped-ion, or photonic)
  • Proven track record of publishing in Nature/Science journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in machine learning and classical-quantum hybrid systems
  • Demonstrated ability to secure major research grants
  • Experience managing R&D teams of 10+ researchers
  • Security clearance eligibility (Desired)

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Research Leadership Patent Development High-Performance Computing

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