Real job — pulled straight from Cato Networks’s careers page · Verified July 13, 2026 · No reposts.
Job description
Cato Networks is hiring a AI Platform Engineer — a full-time, based in Tel Aviv District, Israel role. Apply directly on Cato Networks's careers page below.
AI Security - AI Platform Engineer
Location: Tel Aviv District, Israel
Department: Engineering - AI Security
Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
We are looking for an AI Platform Engineer to help build the infrastructure that powers high-throughput, low-latency AI security decisions in production.
You will work on a runtime engine that combines GPU-based models, from MMBERT-style models to LLMs, with CPU-based heuristics and security logic, optimized for scale, performance, reliability, and real-time execution. This is a versatile engineering role that spans AI runtime infrastructure, high-performance backend development, GPU inference, model lifecycle, and close collaboration with research teams to bring AI security algorithms into production.
Responsibilities
- Build Cato’s AI security runtime platform for high-throughput, low-latency production serving.
- Develop infrastructure for model serving, multi-model orchestration, and inline decision flows.
- Optimize inference performance: batching, caching, streaming, GPU utilization, memory usage, and runtime acceleration.
- Build backend orchestration and performance-critical services in Go.
- Support the model lifecycle: registry integration, packaging, versioning, deployment, monitoring, and operational health.
- Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Requirements
- 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or MLOps.
- Experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar.
- Strong understanding of low-latency, high-throughput production systems.
- Experience with model lifecycle concepts: model registry, versioning, deployment, rollout, rollback, monitoring, and observability.
- 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java.
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Frequently asked questions
What skills are required for AI Platform Engineer at Cato Networks?
The required skills for AI Platform Engineer at Cato Networks include: Go, Docker, Kubernetes, PyTorch, Machine Learning, MLOps.
What is the seniority level for AI Platform Engineer at Cato Networks?
AI Platform Engineer at Cato Networks is a Mid Level level position.
How do I apply for AI Platform Engineer at Cato Networks?
You can view the full description and apply for AI Platform Engineer at Cato Networks on EchoJobs: https://echojobs.io/job/cato-networks-ai-security-ai-platform-engineer-77dcn.