Job Description
Join Nexus Dynamics' groundbreaking 2026 Innovation Lab to pioneer the next frontier of human-machine collaboration. We're seeking a visionary Quantum AI Research Lead to architect transformative solutions that will redefine industries by 2026. This role sits at the intersection of quantum computing, artificial intelligence, and exponential technologies, offering unparalleled opportunities to shape tomorrow's digital landscape.
As a key architect of our 2026 roadmap, you'll lead cross-disciplinary teams to develop proprietary quantum neural networks and AI systems capable of solving previously insurmountable challenges. You'll collaborate with Nobel laureates, industry disruptors, and government agencies to accelerate breakthroughs in autonomous systems, climate modeling, and personalized medicine.
This position includes competitive equity, unlimited PTO, and access to our state-of-the-art quantum research facilities in the heart of San Francisco's tech corridor. If you're driven to solve humanity's most complex problems, we invite you to apply your expertise to build the future.
Responsibilities
- Lead R&D initiatives in quantum neural networks and next-gen AI architectures
- Develop proprietary quantum algorithms for 2026-era autonomous systems
- Collaborate with government agencies on national AI strategy implementation
- Present breakthrough findings at global tech summits (Davos, Web Summit)
- Mentor PhD researchers in quantum machine learning methodologies
- Secure $10M+ in research grants from NSF and DARPA
- Architect ethical frameworks for quantum AI deployment
Qualifications
- PhD in Quantum Computing, AI, or related field with 8+ years industry experience
- Published 20+ peer-reviewed papers in Nature/Science journals
- Expertise in quantum error correction and fault-tolerant systems
- Proven track record of securing federal research grants
- Deep understanding of quantum supremacy milestones
- Experience with D-Wave, IBM Q, or equivalent quantum hardware
- Fluency in Python, TensorFlow Quantum, and Qiskit
- Strong background in computational complexity theory