Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum-computing integration, autonomous systems, and next-gen neural networks. Shape the future in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and disrupting industries from healthcare to climate modeling. Enjoy unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+.
Responsibilities
- Lead research initiatives in quantum-AI hybrid algorithms for 2026-era applications
- Develop novel neural architectures with sub-millisecond latency capabilities
- Collaborate with MIT/Stanford on federally funded AI ethics projects
- Prototype autonomous systems using edge-computing breakthroughs
- Publish 3+ peer-reviewed papers in Nature/Science annually
- Mentor PhD interns on real-world quantum machine learning
- Secure $500K+ in annual research grants from DARPA/NSF
Qualifications
- PhD in Computer Science/AI with focus on quantum computing or neuromorphic systems
- 5+ years experience in deep learning frameworks (PyTorch/TensorFlow)
- Published work in top-tier AI conferences (NeurIPS/ICML)
- Expertise in high-performance computing (HPC) clusters
- Proficiency in C++/Rust for low-level optimization
- Strong background in AI safety and alignment research
- Track record of translating research into commercial products