Senior AI Researcher
Core
Architecting and executing frontier AI research to dictate long-term technical trajectory and translate scientific breakthroughs into scalable enterprise AI technologies.
Role type
Senior AI Researcher (Visionary Technical Leader)
Builds
Scalable technologies for foundation models, agentic AI, reasoning systems, and multimodal learning that differentiate Cisco's AI platform.
Domain
Artificial Intelligence / Enterprise Technology
Deliverable
production ML models
Required skills
Foundation models, agentic AI, reinforcement learning, reasoning, efficient inference, distributed training systems, Python, PyTorch, large-scale AI research frameworks
Preferred skills
High-performance computing (thousands of GPUs), distributed training frameworks (CUDA, NCCL, FSDP2, Megatron-LM), inference engines (vLLM, SGLang), cloud-native deployment (Docker, Kubernetes, MLOps), agentic AI workflows, cybersecurity principles
Technologies
PyTorch, CUDA, NCCL, FSDP2, Megatron-LM, vLLM, SGLang, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Define and direct multi-year research programs; Invent novel architectures and algorithms for foundation models and agentic AI; Drive research in reinforcement learning, mechanistic interpretability, and scaling laws; Design evaluation benchmarks for AI reliability and safety; Collaborate to translate research into production AI systems; Mentor researchers and engineers; Publish in top AI conferences and contribute to open-source projects
Seniority
Senior, hands-on IC with scientific leadership
