Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Systems Architect, you'll design and implement revolutionary computing frameworks that will redefine industries by 2026. We're seeking visionary architects to bridge quantum mechanics, machine learning, and distributed computing in our Austin innovation hub.
You'll collaborate with Nobel laureates and AI pioneers to build scalable quantum neural networks, optimize quantum-classical workflows, and develop novel algorithms for unsolvable problems. This role offers unparalleled opportunities to shape humanity's technological trajectory while working in our state-of-the-art facility with cutting-edge quantum processors.
Responsibilities
- Architect hybrid quantum-classical computing systems for enterprise-scale AI applications
- Design fault-tolerant quantum neural networks achieving quantum advantage
- Develop error-correction protocols for real-time quantum machine learning
- Create quantum-secure blockchain frameworks for decentralized AI marketplaces
- Lead R&D initiatives in quantum-enhanced natural language processing
- Optimize quantum circuit performance for 1000+ qubit processors
- Document quantum system architectures for patent applications
Qualifications
- PhD in Quantum Computing, AI Systems, or related field (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proven experience with quantum error correction and fault tolerance
- Deep understanding of quantum machine learning algorithms
- Strong background in distributed computing and cloud architecture
- Published research in quantum-AI hybrid systems (arXiv, Nature, IEEE)
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum hardware interfaces