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Quantum Computing Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. As a Quantum Computing Research Lead, you'll architect next-gen quantum algorithms and drive breakthroughs that redefine computational boundaries. We offer unparalleled resources, a state-of-the-art lab, and the autonomy to pioneer solutions for global challenges in cryptography, materials science, and artificial intelligence.

Why Nexus Quantum Labs? We're not just preparing for the future—we're building it. Our team of Nobel laureates and Turing Award winners provides mentorship while you lead projects with real-world impact. Enjoy competitive equity packages, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead cross-functional teams of physicists and software engineers in quantum circuit development
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Collaborate with industry partners to prototype quantum solutions for enterprise challenges
  • Secure research grants and patents for novel quantum methodologies
  • Mentor junior researchers and drive quantum literacy across the organization

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Published research in quantum error correction or topological quantum computing
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record of securing $500K+ in research funding
  • Strong background in machine learning and classical high-performance computing
  • Experience with cryogenic quantum systems and superconducting qubits
  • Excellent project management skills with ability to lead international teams

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Systems Q# Machine Learning High-Performance Computing Research Leadership Quantum Error Correction

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