Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary 2026 Quantum AI Researcher to architect solutions that will redefine computational paradigms. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to transform theoretical breakthroughs into practical applications. This role represents a rare opportunity to shape humanity's digital future while collaborating with Nobel laureates and Turing Award winners in an environment that values audacious innovation.
Responsibilities
- Lead cutting-edge research in quantum machine learning algorithms for 2026-era applications
- Design and implement hybrid quantum-classical neural network architectures
- Develop fault-tolerant quantum computing protocols for real-world deployment
- Collaborate with cross-disciplinary teams to prototype next-gen AI systems
- Author peer-reviewed publications and contribute to open-source quantum frameworks
- Secure $5M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates in quantum information science initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (2020-2026)
- Published research in Nature/Science on quantum algorithms or AI optimization
- Proficiency in Qiskit, Cirq, and quantum circuit design tools
- Expertise in tensor networks and quantum error correction methodologies
- Demonstrated experience with large-scale distributed computing frameworks
- Strong background in topological quantum computing models
- Track record of translating theoretical concepts into scalable prototypes