Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for our flagship quantum neural networks, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco's Innovation District offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
We offer competitive equity packages, flexible work arrangements, and continuous learning stipends. Shape the future of human-computer interaction while working with the brightest minds in quantum computing and artificial intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional R&D teams in developing quantum neural network architectures
- Optimize quantum-AI hybrid systems for enterprise-scale deployments
- Publish breakthrough research in top-tier journals and industry conferences
- Collaborate with hardware teams to co-design quantum processors with AI capabilities
- Drive patent development for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum computing or quantum AI
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience with high-performance computing and distributed quantum systems
- Strong background in neural networks and deep learning frameworks
- Track record of translating theoretical concepts into practical applications