Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems. You'll collaborate with Nobel laureates and Silicon Valley pioneers to solve humanity's most complex challenges—from climate modeling to drug discovery. Our state-of-the-art Austin campus offers unparalleled resources including 128-qubit processors and exascale computing clusters. This role includes competitive equity, unlimited R&D budget, and the opportunity to publish groundbreaking research in Nature and Science.
Responsibilities
- Lead cross-functional teams in developing quantum AI algorithms for real-world applications
- Design fault-tolerant quantum neural networks with error rates below 10⁻⁹
- Secure $5M+ in government grants and corporate partnerships
- Publish 2+ peer-reviewed papers annually in top-tier journals
- Advise Fortune 500 companies on quantum integration strategies
- Mentor PhD candidates and postdoctoral researchers
- Develop proprietary quantum optimization frameworks
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years 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
- Track record of securing federal research grants (NSF/DOE)
- Strong Python/C++ proficiency with high-performance computing
- Experience leading teams of 10+ researchers