Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to architect solutions for 2026 and beyond. We seek a visionary Research Lead to pioneer next-generation quantum computing frameworks that will redefine artificial intelligence. This role offers unparalleled opportunities to shape emerging technologies while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley campus.
Responsibilities
- Lead cross-functional teams in developing quantum neural networks for 2026-era AI applications
- Design fault-tolerant quantum algorithms to solve previously intractable computational challenges
- Collaborate with hardware teams to optimize quantum-AI hybrid system architectures
- Secure $5M+ in federal research grants for 2026 technology roadmaps
- Publish breakthrough research in Nature/Science journals with 200+ citation impact
- Mentor PhD candidates in quantum machine learning methodologies
- Present findings at Davos, TED, and World Economic Forum summits
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or equivalent with 8+ years research experience
- Published 15+ peer-reviewed papers on quantum machine learning (arXiv citations >500)
- Expertise in Qiskit, Cirq, and quantum error correction protocols
- Proven track record securing NSF/NIH grants for frontier technologies
- Deep understanding of 2026-era AI ethical frameworks and governance
- Experience leading international research consortia (EU/US/Japan)
- Fluency in Python, Rust, and quantum circuit optimization languages