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Quantum AI Research Lead - 2026 Vision Project

FutureHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join FutureHorizon Labs at the forefront of technological evolution as we pioneer the 2026 Quantum-AI Integration Initiative. We seek a visionary Research Lead to architect groundbreaking solutions that will redefine computational capabilities and artificial intelligence paradigms. This role offers unparalleled opportunity to shape tomorrow's technological landscape while collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco innovation hub.

Our 2026 Vision Project focuses on developing quantum-resistant AI frameworks and next-gen neural networks that will power autonomous systems, personalized medicine, and sustainable energy solutions. You'll lead a multidisciplinary team of quantum physicists, machine learning engineers, and computational theorists to solve humanity's most complex challenges.

Responsibilities

  • Architect and lead quantum-AI hybrid systems for 2026 deployment roadmap
  • Direct research in quantum machine learning algorithms and error correction protocols
  • Collaborate with hardware teams to optimize quantum-AI co-design architectures
  • Publish peer-reviewed papers and present findings at premier conferences
  • Secure $5M+ in research grants through NSF and DARPA partnerships
  • Mentor postdoctoral researchers and PhD candidates in quantum computing
  • Develop ethical frameworks for quantum-AI deployment in critical infrastructure

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years leading quantum-AI research projects with published breakthroughs
  • Expertise in quantum algorithms, Q# programming, and cloud quantum platforms
  • Proven track record of securing federal research grants ($1M+)
  • Deep knowledge of tensor networks and quantum neural network architectures
  • Experience with superconducting quantum processors and trapped-ion systems
  • Strong background in AI ethics and responsible AI development
  • Ability to translate complex quantum concepts into stakeholder communications

Required Skills

Quantum Computing Machine Learning Q# Python TensorFlow PyTorch Quantum Algorithms Research Leadership Grant Writing AI Ethics

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