Job Description
Shape the future at Nexus Quantum Labs, where we're pioneering the next frontier of computational intelligence. We seek a visionary Quantum AI Systems Architect to design hybrid quantum-neural networks that will redefine machine learning by 2026. Join our elite team of physicists and AI researchers in building the infrastructure for tomorrow's autonomous systems, drug discovery breakthroughs, and climate modeling solutions.
This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel Prize-winning scientists. You'll influence the development of quantum-safe encryption protocols and lead the integration of quantum processors into existing cloud ecosystems. Our state-of-the-art facility in San Francisco's innovation district provides an environment where your expertise can transform theoretical possibilities into reality.
Responsibilities
- Design scalable quantum-classical hybrid architectures for enterprise AI applications
- Develop fault-tolerant quantum algorithms for optimization problems at scale
- Lead integration of quantum processors into cloud computing infrastructure
- Collaborate with hardware teams to co-design quantum processors and error correction
- Create quantum-safe cryptographic frameworks for next-gen security protocols
- Mentor cross-functional teams in quantum machine learning principles
- Publish research in top-tier quantum computing journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum computing or quantum information theory
- Experience with cloud-native quantum services (AWS Braket, Azure Quantum)
- Demonstrated ability to translate complex quantum concepts into technical specifications
- Strong background in high-performance computing and distributed systems