Job Description
Join Nexus Quantum Labs at the forefront of the quantum-AI revolution. We're pioneering the next generation of hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms at the intersection of quantum mechanics and machine learning, working with our cutting-edge 1000-qubit processors. Our state-of-the-art facility in San Francisco's innovation district offers unparalleled resources to transform theoretical concepts into revolutionary applications.
We offer competitive equity packages, flexible hybrid work arrangements, and dedicated research budgets for conference attendance and publication. Collaborate with Nobel laureates and industry pioneers while contributing to projects that will shape humanity's technological future.
Responsibilities
- Design and implement novel quantum neural network architectures for complex optimization problems
- Develop hybrid quantum-classical algorithms that outperform classical systems
- Lead experimental validation of quantum machine learning models on proprietary quantum hardware
- Author peer-reviewed publications and patent applications in quantum AI
- Mentor junior researchers and cross-functional engineering teams
- Drive strategic partnerships with academic institutions and quantum hardware providers
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithms, quantum error correction, and quantum machine learning frameworks
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and Python-based ML libraries
- Published research in top-tier journals (Nature, Science, Quantum) or major conferences
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to translate theoretical concepts into practical implementations