Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative freedom to transform theoretical concepts into tangible innovations that will define the next decade.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Develop hybrid quantum-classical computing architectures for enterprise-scale problems
- Lead cross-functional R&D projects in collaboration with MIT and Stanford research teams
- Optimize quantum algorithms for commercial deployment on proprietary quantum processors
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior scientists and secure $5M+ in research grants annually
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and classical optimization
- Proven track record of publishing peer-reviewed research in quantum/AI
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with superconducting quantum systems or photonic computing