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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to drive breakthroughs in cryptography, materials science, and AI optimization. In this role, you'll lead a cross-disciplinary team of physicists, engineers, and data scientists to develop scalable quantum algorithms and hybrid quantum-classical systems. Our Austin hub offers state-of-the-art lab facilities and unparalleled collaboration opportunities with MIT and Stanford research partners.

Responsibilities

  • Design and execute quantum computing research roadmaps aligned with 2026 technological inflection points
  • Lead development of quantum-resistant encryption protocols for next-gen security systems
  • Collaborate with hardware teams to optimize quantum error correction and qubit stability
  • Publish peer-reviewed research in Nature/Science journals and present at IEEE Quantum Week
  • Secure $5M+ in government and industry research grants
  • Mentor PhD candidates in quantum algorithms and quantum machine learning
  • Translate theoretical breakthroughs into commercial IP portfolios

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry research
  • Published 10+ papers in quantum algorithm design or quantum error correction
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Experience securing NSF/DARPA grants or equivalent funding mechanisms
  • Proven track record leading quantum hardware-software co-design projects
  • Deep understanding of quantum supremacy thresholds and NISQ-era constraints
  • Strong background in cryptography or computational complexity theory

Required Skills

Quantum Computing Quantum Algorithms Cryptography Qiskit Cirq Quantum Error Correction Research Leadership Grant Writing Machine Learning

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