Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll shape the technological landscape of 2026 by developing next-gen algorithms that solve previously impossible problems. Our state-of-the-art facility in San Francisco's innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We're seeking visionary minds to collaborate on quantum neural networks, error-corrected machine learning models, and hybrid quantum-classical systems. This role offers competitive compensation, flexible work arrangements, and the opportunity to publish groundbreaking research in partnership with leading academic institutions.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization and pattern recognition
- Develop error mitigation strategies for practical quantum machine learning applications
- Lead cross-functional teams in prototyping quantum-accelerated AI solutions
- Contribute to open-source quantum AI frameworks and libraries
- Publish high-impact research in peer-reviewed journals and conferences
- Collaborate with hardware teams to optimize quantum-AI integration
- Mentor junior researchers and drive innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum machine learning and quantum information theory
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in linear algebra, probability, and statistical modeling
- Track record of published research in quantum computing or AI
- Experience with high-performance computing and parallel processing
- Ability to translate complex quantum concepts into practical AI solutions