Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to pioneer hybrid quantum-classical systems that will redefine artificial intelligence. This role sits at the intersection of quantum computing, machine learning, and emergent neural networks, offering unparalleled opportunities to shape the next generation of computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where cutting-edge research meets market-ready applications.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI systems
- Lead cross-disciplinary teams in developing hybrid quantum-classical machine learning frameworks
- Optimize quantum algorithms for real-time decision-making in autonomous systems
- Develop error-correction protocols for fault-tolerant quantum computing operations
- Translate theoretical quantum AI models into scalable industrial solutions
- Establish quantum security protocols for next-generation data encryption
- Drive innovation in quantum-entangled neural processing units
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum AI or quantum information theory
- Expertise in tensor networks and quantum circuit optimization
- Experience with high-performance quantum computing hardware
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Demonstrated ability to translate complex quantum concepts into commercial applications