Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering quantum-AI integration for 2026's next-generation computing paradigm. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that merge quantum mechanics with artificial intelligence to solve humanity's most complex challenges.
Our Austin-based innovation hub offers state-of-the-art laboratories and unparalleled collaboration with Nobel laureates and industry disruptors. This role shapes the future of computational intelligence while enjoying Texas's vibrant tech ecosystem.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational systems
- Lead cross-functional research teams in developing hybrid quantum-classical neural networks
- Author groundbreaking publications in top-tier journals and industry white papers
- Translate theoretical quantum computing models into practical AI applications
- Collaborate with hardware teams to optimize quantum-AI system architectures
- Secure federal and private funding for next-gen quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
- Published work in quantum machine learning or quantum algorithms
- Proficiency with quantum programming frameworks (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Demonstrated expertise in high-performance computing environments
- Experience securing DoD or NSF grants for quantum research
- Deep understanding of quantum error correction and fault-tolerant computing