Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence. We seek a visionary Quantum AI Research Scientist to architect next-generation solutions that transcend classical computing limitations. This role offers unparalleled opportunities to shape humanity's digital future through groundbreaking research in quantum neural networks and hybrid quantum-classical systems.
Our state-of-the-art facility in San Francisco's tech hub provides an incubator for innovation where you'll collaborate with Nobel laureates and Turing Award winners. We offer competitive equity packages, flexible work arrangements, and dedicated R&D resources to accelerate your breakthroughs.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead research in quantum neural network architectures and error correction
- Develop hybrid quantum-classical frameworks for enterprise AI applications
- Collaborate with hardware teams to prototype quantum processors
- Publish findings in top-tier journals and present at global conferences
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years research experience
- Expertise in quantum programming (Qiskit, Cirq, Q#) and ML frameworks
- Published work in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and high-performance computing environments
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Track record of translating theoretical concepts into practical prototypes