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# Infrastructure Engineer, AI for Chip Design

- **Company:** INTERNATIONAL RECRUITING LLC
- **Location:** Bellevue, WA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Clusters, Continuous Integration, Data Infrastructure, Distributed Computing Environment, Electronic Design Automation, Python (Programming Language), Key Management, Node.Js, Role-Based Access Control, Release Management, Google Cloud, Autoscaling, Delivery Pipeline, Multi-Cloud, Kubernetes, Slurm, Machine Learning Operations, Terraform, Oracle Cloud Infrastructure, Data Pipelines, Docker, Golang
- **Published:** October 2, 2026
- **Apply:** https://www.juju.com/job/16_0d2106cc1

## About the Role

* Deep experience operating production infrastructure on a major cloud (GCP, AWS, or Azure), with working knowledge of more than one.
 * Expert-level Kubernetes and container skills (Docker/OCI, Helm) - cluster operations, workload isolation, and multi-tenancy.
 * Proven track record delivering software into on-prem, private-cloud, or air-gapped customer environments.
 * Strong grasp of authorization and enterprise security - RBAC/ReBAC, identity/SSO, secrets, and audit.
 * Proficiency in a systems/automation language (Go, Node, Python, or Rust) and infrastructure-as-code (e.g., Terraform).
 * CI/CD and artifact/release management experience - build pipelines, registries, signing, and distribution.

Particularly Valuable Experience

 * GPU cluster operations and ML infrastructure (Kubernetes device plugins or Slurm, distributed training, high-throughput inference serving).
 * EDA / HPC / licensed-tool compute environments and schedulers (LSF, SGE, Slurm).
 * Fine-grained / ReBAC authorization systems (Zanzibar-style, e.g., OpenFGA or SpiceDB).

## Description

Our client seeks an Infrastructure Engineer to design and operate the platform that runs our agentic design-automation systems - both on our own multi-cloud infrastructure and inside our customers' on-prem, private-cloud, and air-gapped environments. This position spans cloud, Kubernetes and containers, enterprise access and security, the compute fabric that runs EDA tools in our on-premises deployment, and the AI/ML and data infrastructure - GPU clusters, data pipelines, and artifact delivery - behind our agents. You'll work on how the platform is built, secured, packaged, and shipped so it runs reliably everywhere our customers do., The role spans multiple technical areas including:

 * Architecting and operating our internal multi-cloud infrastructure across GCP, AWS, and Azure - provisioning, networking, infrastructure, observability, reliability, and cost.
 * Designing and delivering on-prem and private-cloud deployments - including air-gapped environments - packaged to drop cleanly into each customer's existing infrastructure.
 * Owning the Kubernetes and container foundation: cluster architecture, Helm/packaging, autoscaling, multi-tenancy, and safe lifecycle and upgrades across every cloud and on-prem target.
 * Building enterprise access and security end to end - RBAC and ReBAC authorization, SSO/identity integration, secrets management, and audit.
 * Building the compute infrastructure that runs EDA tools under the our client's compute fabric - scheduling, isolation, and resource management for licensed EDA workloads that fit and federate into diverse customer environments.
 * Standing up and scaling AI/ML infrastructure - GPU clusters and scheduling, distributed training, model serving and inference, and model/environment management.
 * Building the data and artifact layer - data pipelines and storage, artifact and model repository management, and the release/"ship" pipeline that packages, signs, and distributes builds and models to cloud, on-prem, and air-gapped customers.