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Quantum Computing Research Lead

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek a visionary Research Lead to drive breakthroughs in quantum algorithms, error correction, and scalable hardware integration. This role offers unparalleled opportunities to shape the next generation of computational paradigms in a dynamic, cross-disciplinary environment.

Our Austin hub combines cutting-edge research facilities with a vibrant tech ecosystem, fostering collaboration between physicists, computer scientists, and engineers. You'll lead a team of world-class researchers while collaborating with industry partners to translate theoretical innovations into real-world applications.

Responsibilities

  • Design and execute quantum computing research roadmaps targeting 2026 commercialization milestones
  • Lead cross-functional teams in developing novel quantum algorithms for optimization, cryptography, and machine learning
  • Drive advancements in quantum error correction and fault-tolerant system architectures
  • Secure research partnerships with academic institutions and Fortune 500 technology companies
  • Publish breakthrough findings in top-tier journals and present at global quantum conferences
  • Mentor junior researchers and establish best practices for quantum software development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research experience
  • Proven track record of publishing in Nature/Science or equivalent high-impact journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum simulation frameworks
  • Deep understanding of quantum hardware architectures including superconducting qubits and ion traps
  • Experience managing research teams and securing government/industry grants
  • Strong background in machine learning and classical-quantum hybrid systems
  • Excellent communication skills for translating complex concepts to diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Machine Learning Research Leadership Hardware Integration

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