Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation neural networks that merge quantum computing with machine learning to solve humanity's grandest challenges. As our Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries while mentoring a world-class team in our Austin innovation hub.
Our cutting-edge lab offers unparalleled resources, flexible hybrid work, and equity opportunities in a culture that thrives on intellectual curiosity. Shape the future of technology where quantum mechanics meets artificial intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams of quantum physicists and AI specialists
- Develop novel error-correction protocols for quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in quantum-AI research grants
- Mentor PhD researchers and drive technical excellence
- Collaborate with industry partners to commercialize quantum-AI solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years of hands-on quantum algorithm development experience
- Proven track record of publishing in Nature/Science/IEEE journals
- Expertise in quantum circuit optimization and tensor networks
- Strong Python/C++ programming with quantum libraries (Qiskit, Cirq)
- Demonstrated success leading technical research teams
- Deep understanding of 2026-era quantum hardware limitations
- Experience with large-scale distributed quantum computing systems