Arm
Staff Software Engineer, AI Compute Infrastructure
$209K–$283K
Seattle, Washington · Staff · Full-time · Posted Sep 9, 2026
- Experience
- 8+ years; building or operating cloud, compute, HPC, or distributed infrastructure in a production environment.
- Visa sponsorship
- Relocation package, including visa sponsorship support, is available for candidates who require it.
About the job
Designs, builds, and operates scalable compute infrastructure supporting AI training, fine-tuning, evaluation, and inference.
What you'll do
- Build and operate Kubernetes clusters, improving scheduling, placement, capacity use, and recovery.
- Integrate and validate CPU and GPU systems, including drivers, networking, storage, monitoring, and health checks.
- Diagnose infrastructure and workload performance or reliability issues and automate cluster provisioning, upgrades, monitoring, and maintenance.
What they ask for
- 8+ years building or operating production cloud, compute, HPC, or distributed infrastructure.
- Programming experience in Go, Python, or another systems language.
- Practical knowledge of Kubernetes, containers, Linux, networking, and storage.
- Experience supporting GPU, accelerator, or distributed machine-learning workloads.
Nice to have
- Familiarity with Kubernetes scheduling, operators, quotas, or resource management.
- Experience with NVIDIA technologies, cloud infrastructure tools, monitoring tools, or AI/ML frameworks listed in the posting.
Pay
$209,100-$282,900 per year (USD, base salary)
Tools
Kubernetes, Go, Python, Linux, CUDA, NVLink, AWS EKS, Terraform
AI focus
Build and operate infrastructure for AI training, fine-tuning, evaluation, and inference; support GPU and distributed machine-learning workloads.
Model-written summary · the original posting is authoritative