Das ist der Job
Oversee GPU fleet operations, hardware provisioning, configuration management, and validation.
Darum lohnt es sich
Lead the engineering team responsible for deploying, scaling, and operating AI compute clusters. Why Join: Competitive compensation and comprehensive benefits including medical, dental, and vision. Manage incident response, root-cause analysis, and performance optimization.
Qualifications: 6–10 years in infrastructure engineering, HPC, or large-scale systems. Strong knowledge of AI infrastructure, GPU/CPU clusters, and high-performance networking. Hands-on expertise with Linux, Kubernetes or Slurm, Terraform, Ansible, and observability platforms.
Career growth opportunities in a rapidly scaling global technology organization. Remote work support with equipment reimbursement and monthly internet allowance. Jobgether Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure.
They seek a senior leader to manage engineering operations for advanced AI compute clusters. #J-18808-Ljbffr
