Senior AI Compute Infra Engineer

Arm; Seattle (WA); Hybrid; USD 209,000 - 283,000; Full time

Job summary

Arm is seeking an engineer to design, build, and operate large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. You will work across Kubernetes clusters, accelerator enablement, workload scheduling, high-performance networking, storage, and capacity management.

You will join a driven team partnering with AI researchers to improve reliability, performance, and developer productivity, with a relocation-friendly, hybrid work environment in Seattle, WA.

Qualifications

• 5+ years of experience building or operating cloud, compute, HPC, or distributed infrastructure in a production environment.

Responsibilities

• Build and operate Kubernetes clusters while improving workload scheduling, topology-aware placement, capacity use, and recovery.
• Enable new CPU and GPU systems by integrating and validating drivers, networking, storage, monitoring, and health checks.
• Investigate performance and reliability issues across applications, cloud infrastructure, clusters, and hardware, then turn findings into lasting improvements.
• Partner with AI teams to understand their workloads and automate cluster provisioning, upgrades, monitoring, and maintenance around their needs.

Skills

Go programming

Python programming

Systems programming

Kubernetes

Linux

Networking

Storage

GPU/accelerator workloads

Troubleshooting

Tools

Kubernetes

Terraform

Argo CD

Helm

Prometheus

Grafana

AWS EKS

Job description

Arm is seeking an engineer to design, build, and operate large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. You will work across Kubernetes clusters, accelerator enablement, workload scheduling, high-performance networking, storage, and capacity management.

You will join a driven team partnering with AI researchers to improve reliability, performance, and developer productivity, with a relocation-friendly, hybrid work environment in Seattle, WA.