Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 breakthroughs. We're seeking a visionary Quantum AI Research Scientist to develop next-gen computational frameworks that will redefine industries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into scalable solutions.
As a key member of our Future Systems Division, you'll collaborate with Nobel laureates and industry pioneers to architect hybrid quantum-neural networks. This role offers competitive equity, flexible hybrid work, and dedicated R&D funding for cutting-edge experiments.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Lead cross-functional research teams in prototyping quantum-AI integration solutions
- Author breakthrough publications in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum-resistant architectures
- Translate theoretical models into scalable production-ready systems
- Drive strategic partnerships with quantum computing providers and research institutions
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, Qiskit, and quantum circuit optimization
- Published research in quantum machine learning or quantum information theory
- Strong background in neural network architectures and deep learning frameworks
- Experience with high-performance computing clusters and distributed systems
- Demonstrated ability to translate complex technical concepts for diverse stakeholders