Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration for next-generation computational breakthroughs. As a Quantum AI Research Engineer, you'll architect hybrid systems that redefine computational boundaries while contributing to patent-pending innovations in error correction and neural quantum networks. Our Austin hub offers state-of-the-art labs and unparalleled R&D resources for transformative work.
Responsibilities
- Design quantum-AI hybrid algorithms for exponential speedup in complex simulations
- Develop proprietary error-correction frameworks for stable qubit operations
- Lead neural quantum network implementations for adaptive machine learning
- Collaborate with MIT/Caltech partners on 2026 breakthrough projects
- Secure 3+ patents annually in quantum-AI convergence technologies
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent research experience)
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Published work in Nature/Science on quantum machine learning
- Proficiency with TensorFlow Quantum and PyTorch for quantum neural networks
- Experience with superconducting qubit systems and cryogenic engineering
- Demonstrated success in securing federal research grants (NSF/DOE)