Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We seek a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This role offers unparalleled resources to develop next-gen algorithms for quantum machine learning, cryptography, and computational biology. Our state-of-the-art facility in San Francisco's innovation district provides access to quantum processors, advanced supercomputers, and cross-disciplinary teams reshaping tomorrow's digital landscape.
Compensation includes competitive equity, comprehensive benefits, and flexible remote options. Ideal candidates will thrive in an environment where theoretical physics meets practical AI implementation, contributing to projects that will define the next decade of technological advancement.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead research in quantum-enhanced neural networks and generative AI
- Develop hybrid quantum-classical computing frameworks
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish findings in top-tier journals and industry conferences
- Secure external funding through NSF and DARPA proposals
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years experience in quantum computing or quantum algorithms
- Proficiency in Python, Qiskit, and quantum simulation tools
- Publication record in quantum machine learning or quantum information
- Deep understanding of quantum error correction techniques
- Experience with high-performance computing environments
- Strong mathematical foundation in linear algebra and probability
- Ability to translate complex quantum concepts into practical applications