Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next era of quantum-AI convergence. We're seeking a visionary Quantum AI Architect to design and implement hybrid quantum-neural systems that will redefine computational capabilities by 2026. This role offers the rare opportunity to shape the future of machine learning while working with world-class researchers in our state-of-the-art Austin facility.
Our team operates at the intersection of quantum physics and artificial intelligence, developing solutions for cryptography optimization, drug discovery acceleration, and climate modeling breakthroughs. You'll collaborate with Nobel laureates and industry disruptors to transform theoretical frameworks into tangible innovations.
Responsibilities
- Design scalable quantum-AI architectures for enterprise-scale applications
- Lead research initiatives in quantum machine learning algorithms
- Develop hybrid quantum-classical computing frameworks
- Optimize quantum circuits for deep learning workloads
- Collaborate with hardware teams to design quantum-compatible neural networks
- Secure patents for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years implementing quantum algorithms or AI systems
- Proficiency in Qiskit, Cirq, or similar quantum frameworks
- Expertise in TensorFlow/PyTorch for neural network optimization
- Published research in quantum machine learning or related fields
- Experience with cloud-based quantum computing platforms (IBM Q, Azure Quantum)
- Demonstrated ability to translate complex theoretical concepts into practical solutions