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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for the 2026 frontier. We're seeking a visionary Quantum Computing Research Lead to architect next-generation algorithms that will redefine computational paradigms. In this role, you'll lead a multidisciplinary team in developing scalable quantum systems, pushing the boundaries of cryptography, AI optimization, and material science. Our Austin campus features state-of-the-art laboratories and collaborative spaces designed for breakthrough innovation. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement quantum algorithms with error correction protocols for real-world applications
  • Lead cross-functional teams of physicists, engineers, and computer scientists in R&D initiatives
  • Develop quantum simulation frameworks for drug discovery and climate modeling
  • Collaborate with industry partners to commercialize quantum solutions by 2026
  • Publish breakthrough research in top-tier journals and conferences
  • Secure federal and private funding for advanced quantum research projects
  • Mentor junior researchers in quantum computing best practices

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of hands-on experience with quantum hardware (superconducting/ion trap systems)
  • Expertise in quantum programming languages (Q#, Quil, or Cirq)
  • Proven track record of publishing in Nature/Science journals
  • Strong background in quantum error mitigation and fault tolerance
  • Experience securing DOE/NASA grants for quantum research
  • Deep understanding of quantum machine learning applications

Required Skills

Quantum Computing Q# Fault Tolerance Quantum Algorithms Cryogenics Superconducting Qubits Machine Learning Cryptography

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