Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer Quantum AI systems that redefine computational boundaries. We're seeking visionary Quantum AI Architects to design next-gen hybrid quantum-neural networks for real-world applications in drug discovery, climate modeling, and autonomous systems. This role offers unparalleled opportunity to shape humanity's digital future while working in our state-of-the-art quantum lab with cutting-edge equipment.
Responsibilities
- Design and implement scalable quantum AI architectures using Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead cross-functional teams of quantum physicists and ML engineers
- Translate business requirements into quantum computing solutions
- Research emerging quantum error correction techniques
- Validate quantum models on IBM Quantum and Rigetti systems
- Contribute to open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with quantum circuit optimization and error mitigation
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum AI or top-tier conference presentations
- Understanding of quantum hardware constraints (superconducting/ion trap)