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Quantum Computing Research Lead 2026

NexusLabs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NexusLabs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. We seek a visionary Research Lead to architect next-gen quantum systems that will redefine global computing paradigms. This role offers unparalleled opportunities to shape humanity's digital future while working in our state-of-the-art Austin innovation hub.

Our ideal candidate thrives at the intersection of theoretical physics and practical application, pushing the boundaries of what's computationally possible. You'll collaborate with Nobel laureates and industry disruptors while developing proprietary quantum algorithms that solve previously insurmountable challenges in cryptography, materials science, and AI.

Responsibilities

  • Lead multidisciplinary research teams in developing quantum error correction protocols for 2026-era systems
  • Architect scalable quantum architectures with 10,000+ qubit capabilities
  • Design hybrid quantum-classical computing frameworks for industrial applications
  • Secure $50M+ in government and private sector research grants
  • Publish breakthrough research in Nature/Science journals
  • Establish industry standards for quantum-safe cryptography
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 5+ years hands-on experience with quantum hardware (superconducting/ion trap/qubit systems)
  • Proven track record of securing federal research grants (NSF/DOE)
  • Expertise in quantum machine learning and algorithm optimization
  • Published research in top-tier quantum computing journals
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Experience leading R&D teams of 15+ scientists

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Circuits Quantum Error Correction Machine Learning High-Performance Computing Scientific Research

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