AI Security - AI Platform Engineer

3 weeks, 2 days ago
Mid Level
Artificial Intelligence and Machine Learning
Cato Networks

Cato Networks

Cato Networks is the world's leading single vendor SASE platform that converges SD WAN, security, global backbone, and remote access into a global cloud-native service. Their robust platform optimizes and secures application access for all users and lo...

Diversified Telecommunication Services
251-1K
Founded 2015
$770M raised

Description

  • 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 through batching, caching, streaming, GPU utilization, memory usage, and runtime acceleration.
  • Build backend orchestration and performance-critical services in Go.
  • Support the model lifecycle, including 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 including 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.

Interested in this position?

Apply directly on the company website

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