Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine human-machine interaction. As a pioneer in quantum-AI convergence, you'll architect solutions for autonomous systems, predictive biotech models, and decentralized intelligence networks. Our state-of-the-art San Francisco campus offers unparalleled resources to transform theoretical breakthroughs into tangible innovations.
What You'll Achieve:
Lead the development of quantum-AI frameworks capable of solving previously unsolvable computational challenges. Collaborate with Nobel laureates and Silicon Valley disruptors to create patent-pending technologies that will shape 2026's digital landscape.
Responsibilities
- Design scalable quantum-AI architectures for real-world applications in healthcare, climate modeling, and autonomous systems
- Lead cross-disciplinary teams of quantum physicists, machine learning engineers, and domain specialists
- Develop proprietary algorithms for quantum-enhanced neural networks and predictive modeling
- Establish security protocols for quantum-resistant AI systems protecting 2026-era critical infrastructure
- Present breakthrough concepts to C-suite executives and government innovation boards
- File patents for novel quantum-AI methodologies with projected 2026 commercialization timelines
- Mentor next-generation quantum computing specialists through our 2026 Fellowship Program
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Proven track record architecting production quantum systems (D-Wave, IBM Q, or equivalent)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in Nature/Science on quantum-AI convergence topics
- Deep understanding of NISQ-era limitations and fault-tolerant computing roadmaps
- Experience securing $10M+ R&D funding for experimental quantum projects
- Fluency in quantum programming languages (Q#, Qiskit Aqua) and classical AI frameworks
- Portfolio demonstrating 2026-relevant quantum-AI prototypes or deployments