Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As our Quantum AI Architect, you'll architect next-gen frameworks merging quantum supremacy with neural network optimization. This role offers unparalleled opportunities to shape the future of human-machine symbiosis while working in Austin's thriving innovation ecosystem.
Responsibilities
- Design hybrid quantum-classical AI architectures for enterprise-scale applications
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional teams in implementing quantum machine learning pipelines
- Optimize quantum algorithms for real-time AI decision-making systems
- Research and integrate emerging quantum hardware with existing AI infrastructure
- Collaborate with MIT and Stanford on quantum-AI standardization initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years developing quantum algorithms or large-scale neural networks
- Expertise in Qiskit, Cirq, or comparable quantum programming frameworks
- Published research in Nature/Science journals on quantum machine learning
- Proficiency in Python, TensorFlow, and quantum circuit optimization
- Experience with D-Wave or IBM quantum processors
- Strong background in topological quantum computing theory