AI Security - AI Platform Team Lead

The role

This person will build and lead the AI Platform team to develop a high-throughput, low-latency engine for running GPU-based models and security logic. The role owns the AI security runtime platform and the model lifecycle from research to large-scale production.

What you will do

• Build and lead Cato's AI Platform team through hiring, mentoring, architecture, technical direction, and execution.
• Own the AI security runtime platform for high-throughput, low-latency inline security decisions.
• Design the orchestration layer for running GPU models, CPU heuristics, and security logic.
• Own production readiness including observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
• Own the model lifecycle platform including registry, versioning, deployment, monitoring, and safe production rollout.
• Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
• Define the long-term platform strategy for AI runtime and model serving.

Required qualifications

• 3+ years of leadership experience as a team lead, tech lead, or engineering manager.
• 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms.
• Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar.
• 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java.
• Experience with performance optimization, scalability, observability, and SLO-driven production ownership.
• Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure.

Nice to have

• Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving.

About the company

Cato Networks is the converged network and security cloud for the AI era. The company is building a real-time AI runtime platform for security algorithms running inline across its global cloud and physical PoPs.