About the role
TL;DR
Manage and optimize Runpod's global GPU datacenter infrastructure.
- •Runpod is seeking a Datacenter Infrastructure Specialist to be the operational linchpin of their global GPU fleet.
- •This role bridges hardware partners and internal engineering teams, focusing on the technical lifecycle and operational health of the expanding fleet.
- •Key Responsibilities Validate new hardware and ensure partner deployments meet specifications for AI/ML workloads.
- •Monitor fleet health, audit downtime, and provide technical data to protect customer SLAs.
- •Automate network triage and generate dynamic runbooks using AI agents.
- •Coordinate technical incident communications and translate outages into actionable resolutions.
- •Requirements 3-5 years of experience in infrastructure operations, systems reliability, or datacenter engineering.
- •Proficiency in datacenter networking and performance troubleshooting, with exposure to RDMA, InfiniBand, or RoCE.
- •Hands-on experience with the NVIDIA Software Stack and multi-node performance tuning.
- •Solid Linux system administration skills and experience with containerization (Docker).
Required skills
LinuxDockerPythonGoBash
Nice-to-have skills
GrafanaPrometheusDatadogGit
Domain expertise
aideveloper-tools
Benefits & perks
Equity, Medical, Dental, Vision, Flexible PTO, Remote work, Home Office & Equipment Stipend
Tech stack
PythonGoBashLinuxDockerGrafanaPrometheusDatadogGit