Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop breakthrough solutions that will redefine industries by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical quantum computing into practical AI applications.
As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to create scalable quantum neural networks. This role offers equity participation in our moonshot projects and access to our $500M R&D fund.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical AI frameworks for real-time data processing
- Lead quantum simulation projects for drug discovery and climate modeling
- Optimize qubit stability in cryogenic computing environments
- Collaborate with AI teams to integrate quantum processors into neural networks
- Publish breakthrough research in top-tier journals and conferences
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum circuit design and error correction protocols
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- 5+ years in AI/ML development with deep learning frameworks
- Published research in quantum machine learning or related fields
- Experience with superconducting or photonic quantum systems
- Strong background in linear algebra, probability, and information theory
- Ability to translate complex quantum concepts into practical applications