Job Description
Join Nexus Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation neural networks that transcend classical computing limitations. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms in our Austin innovation hub, collaborating with Nobel laureates and disrupting industries from drug discovery to climate modeling. Our lab offers unparalleled resourcesâincluding 512-qubit processors and exascale simulation clustersâto accelerate your research from theory to real-world impact.
Responsibilities
- Design and implement quantum machine learning frameworks for complex optimization problems
- Lead cross-functional R&D teams to prototype hybrid quantum-classical systems
- Develop patent-pending algorithms for quantum neural networks and generative AI
- Translate theoretical models into production-ready quantum computing applications
- Publish findings in Nature/Science journals and present at IEEE Quantum Week
- Mentor PhD candidates in quantum information science initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (postdoc preferred)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum error correction methodologies
- Proficiency in Python/C++ with high-performance computing optimization
- Demonstrated ability to secure NSF/DOE quantum research grants