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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing applications for 2026. As a Quantum Computing Research Lead, you'll architect breakthrough solutions in cryptography, material science, and AI optimization. Our Austin-based R&D hub offers unparalleled resources to transform theoretical quantum principles into real-world innovations that will redefine industries.

We're seeking visionary researchers who thrive at the intersection of physics, computer science, and exponential technology. You'll collaborate with Nobel laureates, publish in Nature Physics, and shape the quantum landscape for the next decade. This is more than a role – it's your chance to engineer the future.

Responsibilities

  • Design and execute quantum algorithms for complex computational challenges
  • Lead cross-functional teams of physicists, engineers, and data scientists
  • Develop error-correction protocols for scalable quantum systems
  • Secure research partnerships with top-tier academic institutions
  • Translate theoretical quantum models into practical industry applications
  • Present findings at international quantum computing symposiums
  • Drive patent development for novel quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum algorithm development
  • Published research in peer-reviewed quantum computing journals
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of leading high-stakes R&D projects
  • Experience with superconducting and photonic quantum systems
  • Strong background in machine learning for quantum applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Superconducting Qubits Photonic Computing Machine Learning Cryptography Material Science

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