AI Security - AI Platform Team Lead

catonetworks · Tel Aviv District, Israel · Tel Aviv District, Israel · Tel Aviv District, Israel

<div class="content-intro">Cato Networks is the converged network and security cloud for the AI era.  As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents.  Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide.   </div><div>Cato is building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs. We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic. This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path. The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams. Responsibilities</div> <ul> <li>Build and lead Cato’s AI Platform team: hiring, mentoring, architecture, technical direction, and execution.</li> <li>Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Cato’s global cloud and PoPs.</li> <li>Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.</li> <li>Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.</li> <li>Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.</li> <li>Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.</li> <li>Define the long-term platform strategy for AI runtime and model serving at Cato.</li> </ul> <div> Requirements</div> <ul> <li>3+ years of leadership experience as a team lead, tech lead, or engineering manager.</li> <li>3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms.</li> <li>Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar.</li> <li>3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java.</li> <li>Experience with performance optimization, scalability, observability, and SLO-driven production ownership.</li> <li>Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure.</li> </ul> <div> Advantages Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving.</div>

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