Job Description
Join Nexus Dynamics at the forefront of technological evolution. We're pioneering quantum-AI convergence solutions that will redefine computing capabilities by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that leverage quantum mechanics and artificial intelligence to solve previously unsolvable problems. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into breakthrough applications. This is your opportunity to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum machine learning algorithms for high-complexity data analysis
- Develop hybrid quantum-classical computational frameworks for enterprise applications
- Lead cross-functional R&D teams in prototyping quantum-AI integration solutions
- Contribute to patent filings for proprietary quantum neural network architectures
- Collaborate with hardware teams to optimize quantum algorithm performance on emerging processors
- Publish research in peer-reviewed quantum computing and AI journals
- Present findings at industry conferences and shape future research roadmaps
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in advanced AI/ML techniques (deep learning, reinforcement learning, neural networks)
- Published research in quantum computing or quantum machine learning
- Proficiency in Python with scientific computing libraries (NumPy, SciPy, TensorFlow/PyTorch)
- Experience with high-performance computing environments and parallel processing
- Strong analytical skills with ability to translate complex theoretical concepts into practical implementations