Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're seeking a pioneering Quantum AI Research Lead to architect the next generation of hybrid quantum-classical neural networks. Join our elite team in the heart of San Francisco's tech district, where you'll transform theoretical breakthroughs into scalable solutions that will redefine industries by 2026.
Our state-of-the-art facility offers unparalleled resources for quantum experimentation, including 100+ qubit processors and dedicated quantum annealing infrastructure. You'll collaborate with Nobel laureates, publish groundbreaking research in Nature Quantum, and lead projects with Fortune 500 partners in healthcare, logistics, and climate modeling.
We offer competitive equity, comprehensive relocation, and unlimited professional development. This isn't just a job—it's your chance to build the technological backbone of tomorrow.
Responsibilities
- Design and implement quantum neural network architectures for unsupervised learning systems
- Lead cross-functional teams of quantum physicists and machine learning engineers
- Develop hybrid algorithms leveraging quantum advantage for real-world optimization problems
- Secure $5M+ in government/private research grants for quantum AI initiatives
- Publish 3+ high-impact papers annually in top-tier quantum computing journals
- Architect quantum-resistant security protocols for next-gen autonomous systems
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Published research in quantum machine learning or quantum algorithms (Nature/Science papers preferred)
- Expert proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Proven track record of leading quantum research projects with commercial applications
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience securing federal grants (NSF/DOE/DARPA) for quantum research
- Strong background in tensor networks and quantum information theory