Job Description
Join Nexus Quantum 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 groundbreaking algorithms that will redefine computational boundaries by 2026. Our Austin-based innovation hub offers unparalleled resources to transform theoretical physics into practical applications.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Collaborate with quantum physicists to develop error-corrected qubit architectures
- Lead prototyping of hybrid quantum-classical neural networks
- Publish research in top-tier journals and present at international conferences
- Develop scalable quantum computing frameworks for enterprise applications
- Mentor junior researchers in quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in deep learning architectures and optimization algorithms
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow, and high-performance computing
- Demonstrated ability to translate complex theoretical concepts into practical implementations