Infrastructure Engineer – Cloud & AI Agent Platform

I’m working with a highly technical AI and semiconductor startup building autonomous agents capable of carrying out complex chip-design workflows.

They are hiring an Infrastructure Engineer to build the platform through which those agents operate across internal cloud infrastructure and customer-managed environments.

You will work across:

Multi-cloud infrastructure spanning AWS, GCP and Azure
Kubernetes, containers, Helm, autoscaling and multi-tenancy
On-premises, private-cloud and air-gapped deployments
Enterprise identity, authorization, secrets and auditing
GPU infrastructure for distributed training and inference
EDA compute environments, workload scheduling and isolation
CI/CD, artifact management and secure software distribution

We are looking for someone with strong Kubernetes and production-cloud experience who has also delivered software into complex enterprise or customer-controlled environments.

Experience with GPU clusters, Slurm, LSF, EDA infrastructure, high-performance networking or offline deployment packages would be particularly valuable.

This is an opportunity to build the infrastructure connecting modern AI agents with real semiconductor-engineering tools and workflows from an early stage.

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Infrastructure Engineer