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Quantum AI Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we prepare for the transformative landscape of 2026. We seek a visionary Quantum AI Research Lead to architect next-generation solutions that will redefine industries. This role demands a pioneer who thrives at the intersection of quantum computing and artificial intelligence, driving breakthroughs that will shape the next decade.

You'll lead a multidisciplinary team in developing hybrid quantum-AI frameworks, optimize quantum algorithms for real-world applications, and collaborate with Fortune 500 partners to prototype 2026-ready solutions. Our state-of-the-art lab in downtown San Francisco provides unparalleled resources for experimentation and innovation.

Responsibilities

  • Architect and execute quantum-AI research roadmaps targeting 2026 commercial applications
  • Lead cross-functional teams in developing quantum-optimized neural networks
  • Collaborate with industry partners to prototype quantum solutions for finance, logistics, and healthcare
  • Publish peer-reviewed research and secure patents in quantum machine learning
  • Secure $5M+ in research grants from NSF, DoD, and private foundations
  • Mentor PhD researchers and establish quantum-AI curriculum partnerships
  • Present findings at premier conferences like Q2B and NeurIPS

Qualifications

  • PhD in Quantum Computing, Physics, or AI with 5+ years research experience
  • Published work in Nature/Science or top-tier quantum/AI journals
  • Expertise in quantum algorithms (QAOA, VQE) and ML frameworks (PyTorch, TensorFlow)
  • Experience with quantum hardware (IBM Q, Rigetti, IonQ) and cloud platforms
  • Proven track record of securing research funding ($2M+)
  • Strong background in cryptography or optimization theory
  • Exceptional communication skills for technical and executive audiences

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Research Leadership Quantum Algorithms Cryptography PyTorch TensorFlow IBM Q

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