Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of machine learning, cryptography, and autonomous systems while working in our state-of-the-art Austin innovation hub.
Responsibilities
- Design and implement hybrid quantum-classical neural networks for complex pattern recognition
- Develop novel quantum optimization algorithms for real-world industrial applications
- Lead cross-functional R&D teams in prototyping quantum machine learning frameworks
- Collaborate with hardware engineers to co-design quantum-AI accelerator architectures
- Publish breakthrough research in peer-reviewed journals and industry whitepapers
- Drive ethical AI governance frameworks for quantum computing ecosystems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and ML frameworks (PyTorch, TensorFlow)
- Publication record in top-tier quantum/AI conferences (NeurIPS, QIP, etc.)
- Experience with high-performance computing and distributed quantum systems
- Demonstrated ability to translate theoretical concepts into scalable prototypes
- Strong background in linear algebra, probability, and information theory