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Quantum Computing Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. As we pioneer the quantum frontier for 2026, we seek a visionary Research Lead to architect next-generation quantum systems. You'll collaborate with Nobel laureates and disrupt industries from cryptography to drug discovery. Our Austin campus features state-of-the-art labs with 24/7 cryogenic infrastructure, flexible hybrid work, and equity grants in pre-IPO quantum startups.

What You'll Achieve:

Lead a team of 15 quantum physicists and engineers to develop error-corrected qubits. Publish in Nature Physics. Shape our 2026 commercialization roadmap. Present findings to DARPA and NASA stakeholders.

Responsibilities

  • Design and execute quantum algorithm research for 2026-scale computing challenges
  • Oversee development of fault-tolerant quantum processors in cryogenic environments
  • Secure $2M+ annual research grants from NSF, DOE, and industry partners
  • Lead cross-functional teams in quantum cryptography and AI integration
  • Author patents and peer-reviewed publications in top quantum journals
  • Advise C-suite on quantum adoption timelines and ROI strategies
  • Maintain compliance with NIST quantum security standards

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing research with industry publications
  • Expertise in superconducting qubits, quantum error correction, or topological quantum computing
  • Proven track record of securing federal research grants
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Experience managing R&D teams in high-tech environments
  • Deep understanding of quantum supremacy milestones for 2026

Required Skills

Quantum Computing Cryogenic Engineering Algorithm Development Research Management Fault-Tolerant Systems Quantum Cryptography Machine Learning High-Performance Computing

Ready to Take This Challenge?

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