Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering the next wave of quantum-AI convergence that will redefine industries by 2026. As our Quantum AI Research Lead, you'll architect breakthrough systems that bridge quantum computing with artificial intelligence, solving previously unsolvable challenges in cryptography, drug discovery, and climate modeling.
This role offers unparalleled influence in shaping our 2026 roadmap, with dedicated resources and a team of world-class physicists and machine learning engineers. You'll collaborate directly with NASA, IBM Quantum, and MIT's Quantum Engineering Center on projects that will define the next decade of innovation.
Responsibilities
- Design and implement quantum-AI hybrid architectures for 2026-scale applications
- Lead cross-functional teams in developing quantum-resistant encryption protocols
- Drive research in quantum neural networks for real-time climate modeling
- Secure $5M+ in federal grants for quantum-AI initiatives
- Publish breakthrough research in Nature Quantum Information and IEEE Transactions
- Mentor PhD candidates in quantum machine learning at Stanford partnership
- Present findings at World Economic Forum 2026 Tech Summit
Qualifications
- PhD in Quantum Computing, AI, or related field (post-doc preferred)
- 5+ years hands-on experience with quantum programming (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in error correction for NISQ devices
- Proven track record of securing government/industry research funding
- Deep understanding of quantum supremacy benchmarks
- Experience mentoring quantum research teams