Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop revolutionary algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of machine learning, cryptography, and autonomous systems in our state-of-the-art Austin innovation hub.
What You'll Achieve: Design quantum neural networks, optimize quantum-classical hybrid workflows, and contribute to breakthroughs in quantum machine learning. Collaborate with Nobel laureates and industry pioneers in an environment where theoretical physics meets practical AI implementation.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms
- Develop quantum-classical hybrid computing architectures
- Optimize quantum circuit performance for AI workloads
- Conduct research on quantum neural network topologies
- Collaborate on quantum cryptography protocols for AI security
- Publish findings in peer-reviewed journals and industry conferences
- Lead cross-functional projects with quantum physics and AI teams
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Published research in quantum machine learning or quantum algorithms
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing and distributed systems
- Strong analytical skills with ability to translate complex theory into practical solutions