Job Description
Shape the future by designing next-generation quantum-AI hybrid systems at Nexus Quantum Labs. We're pioneering the 2026 technological frontier, seeking visionary architects to bridge quantum computing with artificial intelligence. Join our elite team in developing fault-tolerant quantum neural networks and scalable quantum machine learning frameworks. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy breakthrough solutions across healthcare, cryptography, and climate modeling.
Responsibilities
- Architect quantum-AI integration frameworks for enterprise-scale deployments
- Design error-corrected quantum neural networks achieving 1000-qubit coherence
- Develop hybrid quantum-classical optimization algorithms for real-time analytics
- Lead cross-functional teams in implementing quantum-resistant cryptography systems
- Validate quantum AI models through simulation and prototype testing
- Publish breakthrough research in Nature/Science journals
- Collaborate with MIT and Stanford on quantum-AI interoperability standards
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Published research in quantum information theory or quantum machine learning
- Proficiency in Python, TensorFlow, and quantum circuit optimization
- Experience with fault-tolerant quantum computing architectures
- Demonstrated ability to translate theoretical concepts into production systems