Job Description
Join Nexus Futures Labs at the frontier of technological evolution as we pioneer solutions for the 2026 digital landscape. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computational boundaries. You'll lead a multidisciplinary team in developing algorithms that solve previously intractable problems across climate modeling, drug discovery, and autonomous systems. Our state-of-the-art quantum lab in San Francisco offers unparalleled resources, including 100-qubit processors and petascale AI clusters. This role sits at the intersection of theoretical physics and applied machine learning, requiring both deep technical expertise and strategic foresight to shape humanity's technological trajectory.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for 2026-era computational challenges
- Lead cross-functional teams of physicists, ML engineers, and domain specialists
- Develop error-corrected quantum circuits optimized for near-term hardware
- Translate theoretical quantum models into scalable production AI systems
- Secure $5M+ in federal grants and industry partnerships for 2026 initiatives
- Publish breakthrough research in Nature/Science journals and top-tier conferences
- Mentor next-gen quantum AI talent through our 2026 Fellowship Program
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Proven track record publishing in Nature/Science or equivalent tier-1 venues
- Expertise in quantum circuit design, error correction, and quantum machine learning
- Mastery of Python/C++ with frameworks like Qiskit, Cirq, or PennyLane
- Experience securing DoE/NSF grants or corporate R&D funding
- Demonstrated ability to lead technical teams through complex R&D cycles
- Deep understanding of quantum advantage applications in 2026-relevant domains
- Published work on quantum neural networks or variational algorithms