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2026 Quantum AI Research Lead

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We seek a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational paradigms in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. This role offers unparalleled resources to develop next-gen algorithms that will redefine industries from healthcare to climate modeling. Enjoy competitive compensation, equity packages, and flexible work arrangements in our innovation-centric culture.

Responsibilities

  • Lead quantum machine learning research initiatives targeting 2026 computational milestones
  • Design and implement hybrid quantum-classical AI architectures for enterprise applications
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Mentor cross-functional teams of quantum physicists, AI engineers, and domain experts
  • Secure and manage research partnerships with academic institutions and government labs
  • Translate theoretical breakthroughs into scalable commercial solutions
  • Drive ethical AI frameworks for quantum technology deployment

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
  • 5+ years of hands-on quantum algorithm development with demonstrated publications
  • Expertise in quantum machine learning frameworks (e.g., Qiskit, Cirq, PennyLane)
  • Proficiency with high-performance computing environments and cloud quantum platforms
  • Track record of securing research grants or industry partnerships
  • Strong background in AI/ML with published work in neural networks or optimization
  • Experience mentoring research teams and managing complex projects

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Research Leadership AI Ethics High-Performance Computing

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