Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We seek a pioneering Quantum AI Research Scientist to architect the next generation of intelligent systems. In this role, you'll design hybrid quantum-computing frameworks, develop novel neural networks, and solve previously unsolvable optimization problems. Our state-of-the-art lab in San Francisco offers unparalleled resources for groundbreaking research that will redefine industries worldwide.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging qubit-based neural networks
- Lead cross-functional R&D projects integrating quantum computing with classical AI systems
- Develop proprietary frameworks for quantum-resistant cryptography and data security
- Collaborate with hardware teams to optimize quantum hardware performance for AI workloads
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor junior researchers in quantum computational theory and experimental methodologies
- Secure patents for novel quantum-AI hybrid architectures and optimization techniques
Qualifications
- PhD in Quantum Computing, AI, Computational Physics, or related field (post-doc preferred)
- 5+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Published research in Nature/Science journals or top-tier AI conferences (NeurIPS, ICML)
- Expertise in quantum error correction and fault-tolerant computing architectures
- Strong mathematical foundations in linear algebra, probability, and information theory
- Experience with high-performance computing environments and parallel processing
- Track record of translating theoretical models into practical implementations