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Quantum Computing Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. Lead a world-class team in developing scalable quantum algorithms that will redefine industries from pharmaceuticals to cryptography. Our state-of-the-art facility in Austin's innovation hub offers unparalleled resources to transform theoretical possibilities into real-world solutions.

We seek a visionary researcher to bridge quantum theory and practical application. You'll collaborate with Nobel laureates, publish groundbreaking papers, and shape the next generation of computational paradigms. This role offers equity, flexible remote options, and a budget for cutting-edge conferences worldwide.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation challenges
  • Lead a cross-functional team of quantum physicists and software engineers
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Develop error mitigation techniques for scalable quantum systems
  • Partner with industry leaders to identify quantum computing use cases
  • Secure federal and private research grants totaling $5M+ annually
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years of quantum algorithm development experience
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in Qiskit, Cirq, or similar quantum frameworks
  • Strong background in quantum error correction and fault tolerance
  • Experience with cloud quantum platforms (IBM, AWS Braket)
  • Track record of securing competitive research grants
  • Proven leadership in cross-disciplinary technical teams

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Research Leadership Grant Writing Fault-Tolerant Systems

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