Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms merging quantum mechanics with deep learning, solving previously impossible optimization problems in cryptography, drug discovery, and climate modeling.
Your work will directly shape the next generation of AI infrastructure, collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab. We offer unparalleled resources, competitive equity, and the freedom to explore uncharted territories of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for enterprise-scale optimization problems
- Lead cross-functional R&D teams in developing hybrid quantum-classical computing frameworks
- Publish groundbreaking research in top-tier journals and industry conferences
- Translate theoretical models into production-ready quantum software solutions
- Secure $5M+ in government grants and private funding for quantum-AI initiatives
- Mentor PhD candidates and postdoctoral researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Published research in quantum machine learning or quantum algorithms (arXiv/journal citations)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error mitigation techniques
- Proficiency with high-performance computing architectures (HPC, GPU clusters)
- Track record of securing government research grants (NSF, DOE, DARPA)
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience mentoring researchers in quantum computing environments