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Research & Development 🏢 Full Time ⭐️ Verified

Quantum AI Research Lead

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

Job Description

Join the forefront of technological evolution at Nexus Future Labs as we pioneer the next generation of Quantum AI systems. We're seeking a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine computational capabilities by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence through quantum integration.

As a key member of our innovation incubator, you'll collaborate with Nobel laureates, AI pioneers, and quantum physicists to develop hybrid quantum-neural networks. Our state-of-the-art facility in San Francisco provides access to quantum processors, advanced supercomputing resources, and a $50M R&D budget dedicated to accelerating the 2026 quantum computing roadmap.

Responsibilities

  • Lead research initiatives in quantum machine learning algorithms and quantum-neural architectures
  • Design and implement hybrid quantum-classical computing solutions for real-world applications
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Mentor a team of quantum researchers and AI specialists
  • Collaborate with product teams to commercialize quantum AI breakthroughs
  • Secure federal and private funding for quantum research initiatives
  • Develop quantum-safe encryption protocols for next-gen AI systems

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years research experience
  • Proven expertise in quantum algorithms, error correction, and quantum hardware integration
  • Publication record in Nature/Science or equivalent quantum computing journals
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
  • Demonstrated experience leading cross-disciplinary research teams
  • Deep understanding of quantum supremacy challenges and 2026 technology roadmaps
  • Strong background in topological quantum computing or quantum annealing

Required Skills

Quantum Computing Machine Learning Theoretical Physics Q# Python C++ Research Leadership Quantum Algorithms Neural Networks

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