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.
