Job Description
Join Nexus Future Labs at the frontier of technological evolution. We're seeking visionary Quantum AI Research Leads to architect the computational breakthroughs of 2026. This role bridges quantum mechanics and artificial intelligence to solve previously unsolvable challenges in cryptography, materials science, and climate modeling. You'll lead a pioneering team in our state-of-the-art San Francisco facility, working with quantum processors, neural networks, and next-gen AI frameworks that will redefine human-machine collaboration.
Our lab operates at the intersection of theoretical physics and applied AI, offering unparalleled resources including D-Wave quantum systems, exascale computing clusters, and partnerships with NASA and MIT. This is your chance to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for complex system optimization
- Lead cross-functional teams of quantum physicists, ML engineers, and domain experts
- Develop novel error correction protocols for quantum neural networks
- Secure $5M+ in research grants from NSF, DARPA, and private foundations
- Publish breakthrough research in Nature/Science journals with real-world impact
- Mentor PhD candidates and postdocs in quantum machine learning
- Collaborate with industry partners to commercialize quantum-AI solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Proven track record publishing in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
- Expertise in quantum programming languages (Q#, Quil, Cirq) and ML frameworks
- Demonstrated ability to secure federal research funding
- Experience leading R&D teams with budget >$2M annually
- Deep understanding of quantum supremacy thresholds and fault-tolerant architectures
- Strong background in cryptography, optimization, or computational physics