Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Research Scientist to architect next-generation hybrid quantum-computing systems that will redefine artificial intelligence. Our Austin-based innovation hub offers unparalleled resources to develop breakthrough algorithms, optimize quantum neural networks, and solve previously unsolvable computational challenges. This role bridges quantum physics and machine learning in a dynamic, collaborative environment where your work will directly impact global industries.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for AI optimization
- Develop error-corrected quantum computing protocols for large-scale ML models
- Lead cross-functional teams of physicists and ML engineers
- Conduct cutting-edge research in quantum neural networks
- Translate theoretical quantum computing concepts into practical AI applications
- Collaborate with industry partners to deploy quantum AI solutions
- Publish findings in top-tier scientific journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python, Qiskit, Cirq, and TensorFlow/PyTorch
- Experience with superconducting quantum processors or ion-trap systems
- Strong background in linear algebra, probability, and quantum information theory
- Track record of peer-reviewed publications in quantum computing
- Ability to communicate complex quantum concepts to technical and non-technical stakeholders