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2026 Quantum AI Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 220.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. We seek a visionary Research Lead to architect the next generation of intelligent systems that will redefine industries. This role offers unparalleled opportunity to shape humanity's digital future in our state-of-the-art innovation hub.

Why Nexus Future Labs?

We're not just building technology—we're building tomorrow. Our cross-disciplinary teams operate at the intersection of quantum computing, neural networks, and predictive analytics, solving challenges that will define the 2026 landscape. You'll collaborate with Nobel laureates and industry disruptors while enjoying competitive benefits and flexible work arrangements.

Responsibilities

  • Lead quantum-AI research initiatives targeting 2026 technological inflection points
  • Architect hybrid quantum-classical neural networks for enterprise-scale applications
  • Publish breakthrough research in top-tier journals and present at global conferences
  • Mentor a team of 8-12 researchers across quantum computing and machine learning domains
  • Secure $5M+ annual research funding through government and industry partnerships
  • Translate theoretical breakthroughs into patent-protected commercial solutions
  • Collaborate with product teams to integrate quantum-AI innovations into production systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years leading research teams in quantum-AI or similar frontier technologies
  • Published record in Nature/Science or equivalent-tier journals
  • Expertise in quantum algorithms (QAOA, VQE) and transformer architectures
  • Proficiency with quantum programming frameworks (Qiskit, Cirq) and ML frameworks (PyTorch, TensorFlow)
  • Track record of securing government research grants (DARPA, NSF)
  • Experience with high-performance computing environments (HPC, cloud quantum services)
  • Strong business acumen for translating research into commercial applications

Required Skills

Quantum Computing Machine Learning Neural Networks AI Research Quantum Algorithms Qiskit Cirq PyTorch TensorFlow HPC Research Leadership Scientific Publishing Grant Writing

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