Job Description
Shape the future of quantum AI at Nexus Quantum Labs, where we're pioneering the next frontier of computational intelligence. As a Quantum AI Research Lead, you'll develop hybrid quantum-neural systems to solve previously unsolvable problems in drug discovery, climate modeling, and cryptography. Join our interdisciplinary team of Nobel laureates and Turing Award winners in building the quantum infrastructure that will define 2026 and beyond.
Responsibilities
- Lead cross-functional teams in developing quantum machine learning algorithms for enterprise applications
- Design fault-tolerant quantum circuits optimized for real-time AI model training
- Collaborate with quantum hardware teams to optimize AI workloads on quantum processors
- Develop proprietary quantum encryption protocols for next-gen secure communications
- Publish breakthrough research in Nature Physics and IEEE journals
- Mentor PhD researchers in quantum-computing paradigms
- Secure $5M+ in government and industry research grants
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years of quantum algorithm development experience
- Published research in top-tier quantum computing journals
- Expertise in Q#, Qiskit, and quantum circuit optimization
- Proficiency with TensorFlow/PyTorch for hybrid quantum-classical models
- Track record of securing federal research grants
- Experience with quantum error correction protocols
- Strong background in quantum information theory