Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. As our Quantum AI Research Lead, you'll architect next-generation algorithms that solve previously unsolvable computational challenges in cryptography, climate modeling, and drug discovery. We offer a dynamic environment where your expertise will directly shape humanity's digital future, backed by state-of-the-art quantum hardware and a collaborative team of Nobel-caliber researchers.
Responsibilities
- Design and implement hybrid quantum-classical AI models for enterprise-scale optimization problems
- Lead quantum algorithm development for machine learning acceleration and neural network training
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Pioneer error-correction techniques for fault-tolerant quantum neural networks
- Translate theoretical breakthroughs into production-ready quantum AI solutions
- Mentor a cross-disciplinary team of quantum physicists and AI specialists
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (10+ years industry experience required)
- Proven expertise in quantum machine learning algorithms and quantum circuit optimization
- Published research in Nature/Science journals on quantum-AI hybrid systems
- Mastery of quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Microsoft Azure Quantum)
- Strong background in cryptography and information theory
- Track record of leading technical teams to deliver quantum computing milestones