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Quantum AI Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the forefront of 2026's technological revolution as a Quantum AI Research Lead at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This senior role demands a visionary leader to architect next-gen AI systems that leverage quantum supremacy.

As part of our elite research division, you'll drive breakthroughs in quantum machine learning, develop novel algorithms for quantum neural networks, and collaborate with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco offers unparalleled resources including 1000-qubit quantum processors and dedicated AI supercomputing clusters.

We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive benefits including unlimited learning credits. Shape the future of computational intelligence while accelerating your career in one of technology's most explosive growth sectors.

Responsibilities

  • Design and implement quantum-enhanced AI architectures for real-world applications
  • Lead cross-functional teams of quantum physicists and machine learning engineers
  • Develop novel quantum algorithms to optimize neural network training and inference
  • Establish research partnerships with academic institutions and quantum hardware providers
  • Secure federal grants and corporate funding for quantum AI initiatives
  • Mentor junior researchers and publish findings in top-tier journals (Nature, Science)
  • Translate theoretical quantum AI models into scalable production systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics with 5+ years industry experience
  • Expertise in quantum algorithms, quantum error correction, and quantum machine learning
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and AI frameworks (TensorFlow, PyTorch)
  • Proven track record of publishing in quantum computing or AI research
  • Experience leading technical teams and managing complex R&D projects
  • Deep understanding of quantum hardware limitations and optimization techniques
  • Strong background in high-performance computing and distributed systems

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Qiskit TensorFlow C++ Python Project Leadership

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