Job Description
Shape the future of 2026 technology as Nexus Labs' Quantum AI Research Lead. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers an unprecedented opportunity to lead breakthrough research at the intersection of quantum mechanics and machine learning, working with world-class scientists in our state-of-the-art San Francisco facility. Join us in developing quantum neural networks that will redefine computational possibilities.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Lead cross-disciplinary research teams in quantum-computational neuroscience projects
- Develop fault-tolerant quantum systems for real-world AI applications
- Collaborate with MIT and Caltech on next-gen quantum AI frameworks
- Secure $2M+ in government and private research grants
- Publish breakthrough findings in Nature and Science journals
- Architect quantum-computing infrastructure supporting 2026-scale AI models
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent)
- 5+ years experience in quantum algorithm development
- Published research in quantum machine learning or quantum neural networks
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Strong background in tensor networks and quantum error correction
- Proven track record of securing research funding
- Experience mentoring PhD-level researchers