Job Description
Join Nexus Dynamics at the forefront of 2026 technological evolution. We're pioneering quantum-AI convergence solutions that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms at our Austin innovation hub, collaborating with Nobel laureates and industry disruptors. Our lab operates at the intersection of quantum mechanics and machine learning, pushing the limits of what's computationally possible.
We offer unparalleled resources: 100-qubit quantum processors, exascale computing clusters, and a culture where audacious ideas become reality. Your work will directly impact breakthroughs in materials science, cryptography, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical frameworks
- Author breakthrough publications in top-tier journals and industry whitepapers
- Collaborate with hardware engineers to co-design quantum processors
- Develop patentable methodologies for quantum error correction and scalability
- Mentor junior researchers in quantum computing principles and AI ethics
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)