Job Description
Shape the future of human-computer interaction by designing next-generation quantum-AI hybrid systems. At Nexus Quantum Labs, we're pioneering the frontier of computational intelligence, and we need visionary architects to build the infrastructure for 2026's technological revolution.
This role demands a fusion of quantum mechanics expertise, AI algorithm design, and systems architecture mastery. You'll lead the development of fault-tolerant quantum neural networks that will redefine machine learning capabilities. Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources for groundbreaking research.
We offer competitive equity packages, flexible work arrangements, and opportunities to collaborate with Nobel laureates and Turing Award winners. Join us in solving humanity's most complex challenges through quantum-AI convergence.
Responsibilities
- Architect quantum-AI hybrid computing systems with >1000-qubit scalability
- Design error-corrected quantum neural networks for real-time data processing
- Develop fault-tolerant quantum machine learning algorithms
- Lead cross-functional teams of quantum physicists and AI researchers
- Optimize quantum-classical interfaces for industrial applications
- Secure patents for novel quantum-AI convergence methodologies
- Drive roadmap for quantum computing hardware-software co-design
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years designing large-scale quantum computing systems
- Expertise in quantum error correction and fault tolerance
- Proficiency with quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Published research in top-tier quantum/AI journals (e.g., Nature Physics, IEEE Transactions)
- Experience leading quantum hardware-software integration projects
- Deep understanding of quantum supremacy and NISQ limitations
- Strong background in distributed computing architectures