Description

Own the reliability, performance, and cost efficiency of large-scale GPU infrastructure for partner ecosystems.

This role is remote.

Responsibilities

• Diagnose and resolve complex Day 2 operations problems at scale.
• Improve partner operating models for capacity and services before customer adoption.
• Assess and elevate Day 2 maturity across people, process, tooling, telemetry, and security.
• Convert validated solutions into reusable operating procedures, reference architectures, and automation scripts.

Required Skills

• 8+ years in production infrastructure, cloud engineering, solutions architecture, or SRE.
• Deep expertise in Day 2 stacks: GPU monitoring (DCGM), BMC/Redfish, firmware/driver lifecycle, InfiniBand, NCCL, UFM, or high-performance storage (Lustre, IBM Storage Scale, WEKA, VAST Data).
• Proficiency with Kubernetes or Slurm, GPU scheduling, and multi-tenancy.
• Strong command of Prometheus, Grafana, or OpenTelemetry for metrics and observability.
• Automation experience with Terraform, Ansible, or Argo CD.
• Hands-on Linux administration and scripting in Python or Bash for diagnosis and remediation.
• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience.

Key Skills

Education

Bachelor's degree