Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum-AI fusion systems that will redefine computing by 2026. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for quantum machine learning, collaborate with Nobel laureates, and develop breakthrough applications in cryptography and materials science. Our San Francisco hub offers unparalleled resources including 128-qubit quantum processors and a $50M R&D budget. Shape the future of human-machine intelligence.
Responsibilities
- Design quantum neural networks for unsupervised learning at scale
- Develop error-corrected qubit architectures for 2026-era quantum processors
- Create hybrid quantum-classical optimization frameworks for industrial applications
- Lead cross-functional teams in prototyping quantum-AI fusion prototypes
- Publish breakthrough research in Nature/Science journals
- Secure $2M+ in NSF/DARPA grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or Physics with 5+ years R&D
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Proficiency with tensor networks and quantum simulation frameworks
- Experience with high-performance computing architectures
- Track record of commercializing quantum technologies