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Quantum AI Research Lead

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computational boundaries.

As a key architect of our 2026 roadmap, you'll lead groundbreaking research in quantum machine learning algorithms, develop scalable quantum AI frameworks, and collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into real-world applications. Your work will directly shape the future of autonomous systems, drug discovery, and climate modeling.

We offer a cutting-edge laboratory environment, unlimited research resources, and equity in our quantum-first startup. If you're ready to solve humanity's grandest challenges through quantum-AI synergy, this is your moment.

Responsibilities

  • Architect and implement hybrid quantum-AI algorithms for 2026-era computational challenges
  • Lead a cross-disciplinary team of quantum physicists and machine learning engineers
  • Develop scalable quantum neural network frameworks for enterprise applications
  • Pioneer error mitigation techniques for quantum-AI hybrid systems
  • Secure $5M+ in quantum computing research grants and partnerships
  • Establish industry benchmarks for quantum-AI performance metrics
  • Present breakthrough findings at premier quantum and AI conferences (Q2H 2026)

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years of hands-on quantum algorithm development experience
  • Proven track record publishing in Nature/Science journals on quantum-AI topics
  • Expertise in quantum circuit optimization and qubit coherence management
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
  • Strong background in topological quantum computing and error correction
  • Experience securing federal/state quantum research grants
  • Published work on quantum machine learning applications (post-2020)

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow Quantum Topological Quantum Computing Error Correction Quantum Machine Learning Algorithm Architecture Research Leadership Grant Writing

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