Job Description
Join Nexus Quantum Labs at the forefront of technological evolution in 2026. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in fields from drug discovery to climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate breakthroughs.
This role demands visionary thinking and hands-on expertise to transform theoretical quantum principles into practical AI solutions. You'll collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and rapid prototyping.
Responsibilities
- Design and implement quantum machine learning algorithms for 5G+ network optimization
- Lead cross-functional teams in developing error-corrected quantum processors
- Publish groundbreaking research in top-tier journals and conferences
- Translate theoretical quantum models into scalable AI frameworks
- Secure $5M+ in research grants for quantum-AI integration projects
- Mentor PhD candidates in quantum information science
- Drive patent development for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Published research in quantum machine learning or quantum neural networks
- Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Expertise in tensor networks and quantum error correction codes
- Track record of securing federal research grants (NSF/DOE)
- Deep understanding of quantum annealing and variational algorithms
- Experience with neuromorphic computing architectures
- Strong Python/C++ programming with quantum simulation libraries