Apply Edge Tailor my CV for this job — free

Data Center Operations Engineer

Trust In SODA · Dallas, TX

Tailor my CV for this job — free

See similar jobs

Data Center Operations Engineer — Key Requirements

Location: Dallas–Fort Worth, USA (on-site)Role OverviewHands-on role responsible for operating and maintaining high-performance computing (HPC) and AI infrastructure, with a particular focus on GPU-based systems.

The priority is keeping GPU hardware running reliably, resolving failures quickly, and deploying new equipment.Key ResponsibilitiesInstall, maintain, and troubleshoot NVIDIA GPU servers and HPC infrastructure.Diagnose hardware failures and respond to monitoring alerts to minimize downtime.Perform firmware updates, component replacements, and hardware repairs.Support high-performance networking and storage connected to GPU compute systems.Manage hardware assets, spare parts, vendor support, and RMAs.Support new hardware deployments and data center expansions.Investigate incidents, identify root causes, and improve monitoring and automation.Participate in a 24/7 on-call rotation.Travel across North America to support new data center deployments.Required Experience3+ years of experience in data center operations, hardware engineering, or HPC infrastructure.Hands-on experience with NVIDIA GPU servers or equivalent high-performance computing systems.Strong server hardware troubleshooting skills, including firmware management and component replacement.Experience with high-performance networking and storage.Understanding of HPC and AI workloads.Experience maintaining hardware availability in a production environment.Preferred ExperienceExperience with NVIDIA HGX systems.Supermicro or Dell HGX hardware certifications or training.Experience with greenfield data center deployments.Knowledge of cooling, power distribution, and data center infrastructure.Networking or hardware certifications; ITIL knowledge.Ideal CandidateA technically strong, hands-on hardware engineer with genuine GPU infrastructure experience who can troubleshoot complex failures, maintain uptime, and support the deployment of large-scale AI infrastructure.