Job Description
Join Nexus Future 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 Lead, you'll architect next-gen algorithms merging quantum supremacy with neural networks, solving challenges currently deemed impossible. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical models into breakthrough applications.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization and machine learning
- Lead cross-disciplinary teams of physicists, computer scientists, and domain experts
- Develop scalable quantum neural network architectures
- Secure $5M+ in research grants and partnerships with quantum hardware providers
- Publish top-tier research in Nature/Science journals
- Mentor PhD researchers and drive innovation roadmap for 2026 quantum computing
Qualifications
- PhD in Quantum Computing, AI, or related field (postdoc preferred)
- 5+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Strong Python/C++ skills with high-performance computing experience
- Proven track record of securing research funding
- Deep understanding of quantum error correction protocols