Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence for 2026 and beyond. We seek a visionary Quantum AI Research Engineer to architect next-generation algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates in our state-of-the-art Austin R&D facility, where your work will directly shape humanity's technological trajectory.
Our engineers leverage 128-qubit quantum processors to solve previously unsolvable optimization problems in drug discovery, climate modeling, and autonomous systems. This isn't just research – it's the blueprint for tomorrow's breakthrough innovations.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for exponential computational acceleration
- Develop novel error correction protocols for fault-tolerant quantum neural networks
- Create quantum-optimized algorithms for real-time predictive analytics at petabyte scale
- Lead cross-functional prototyping of quantum-AI co-processing systems
- Author peer-reviewed publications and patents for quantum supremacy applications
- Collaborate with hardware teams to design quantum-compatible AI accelerators
- Model quantum advantage scenarios across finance, logistics, and biotechnology sectors
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (MS with exceptional experience)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum information theory
- Mastery of high-performance computing architectures (HPC, GPU/TPU optimization)
- Experience with large-scale distributed AI model training frameworks
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and statistical modeling