Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that redefine computational boundaries. We seek a visionary Quantum AI Systems Architect to design next-generation interfaces between quantum processors and machine learning frameworks. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in our state-of-the-art San Francisco innovation hub.
Our team operates at the intersection of quantum physics, neural networks, and distributed computing, pushing the limits of what's possible in algorithm development and computational efficiency. You'll collaborate with Nobel laureates and industry pioneers to develop protocols for quantum-resistant cryptography and neural-quantum co-processing.
Responsibilities
- Design and implement quantum-AI hybrid architectures for enterprise-scale applications
- Develop quantum machine learning algorithms leveraging 100+ qubit processors
- Create optimization frameworks for quantum-neural network convergence
- Lead cross-functional teams in prototyping quantum-resistant security systems
- Research and implement fault-tolerant quantum computing protocols
- Document architectural blueprints and publish breakthrough research
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years experience in quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum information theory or quantum machine learning
- Experience with quantum hardware integration (IBM Quantum, Rigetti)
- Strong background in distributed systems and cloud architecture