Staff, Platform Engineer AI Compute (6034)
Core
Build and maintain the software and configuration that let developers run GPU workloads on Kubernetes for Shield AI's AI Factory.
Role type
Staff, Platform Engineer (AI Compute)
Builds
Shared compute and development tools for machine-learning workflows
Domain
Defense technology / AI infrastructure
Deliverable
infrastructure
Required skills
Kubernetes, GPU scheduling, Terraform, Helm, Run:ai, capacity planning, diagnostics, automation
Preferred skills
<none stated>
Technologies
Kubernetes, Terraform, Helm, Run:ai
Responsibilities
Build and maintain software and configuration for running GPU workloads on Kubernetes; Design quotas, scheduling priorities, permissions and isolation for shared compute; Automate deployment and upgrades of GPU services; Investigate and fix scheduling, configuration, storage and networking problems; Build diagnostics connecting queue times and GPU utilization to developer experience; Benchmark workloads to recommend GPU capacity additions; Deliver repeatable installations across cloud, on-premises and air-gapped environments
Seniority
Staff, hands-on IC
