Job Description
Join Nexus Labs at the frontier of technological innovation as we build the quantum computing infrastructure for 2026. We seek a pioneering Quantum AI Research Lead to architect next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of machine learning through quantum-entangled neural networks and hybrid quantum-classical systems. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art downtown San Francisco laboratory, where breakthroughs become reality.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era computational challenges
- Lead cross-functional teams of quantum physicists and AI specialists
- Develop error-correction protocols for fault-tolerant quantum processors
- Secure $5M+ in research grants from NSF and DARPA
- Publish findings in Nature Physics and IEEE Transactions
- Bridge theoretical quantum mechanics with practical AI deployment
- Mentor postdoctoral researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years of quantum algorithm development experience
- Published research in top-tier quantum/AI journals
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Strong background in tensor networks and quantum error correction
- Proven track record of securing federal research funding
- Experience with hybrid quantum-classical architectures
- Deep knowledge of NISQ-era limitations and 2026-era solutions