Job Description
Join Nexus Dynamics at the vanguard of 2026's technological frontier. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As our Quantum AI Systems Architect, you'll architect next-gen frameworks merging quantum computing with neural networks, solving previously impossible optimization problems. Shape the future of machine learning in our Austin R&D hub.
Responsibilities
- Design scalable quantum-AI hybrid architectures for enterprise-level applications
- Develop error-correction protocols for quantum machine learning pipelines
- Lead cross-disciplinary teams in prototyping quantum neural networks
- Optimize quantum algorithms for real-time AI inference in cloud environments
- Architect secure quantum communication channels for federated learning systems
- Drive innovation in quantum-resistant cryptography for AI models
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- 5+ years developing large-scale distributed AI systems
- Publication record in quantum machine learning or related fields
- Proficiency in GPU-accelerated computing frameworks
- Experience with quantum hardware interfaces (IBM Q, Rigetti, D-Wave)
- Deep understanding of topological quantum computing principles