Senior GPU Infrastructure Engineer

Job Summary

To ensure maximum uptime for large-scale AI workloads, the full-time Senior GPU Infrastructure Engineer will own the reliability and performance of the GPU platform, managing telemetry, automated diagnostics, and orchestration in a remote work environment.

Key responsibilities

• Act as the technical escalation point for hardware issues, conducting deep root-cause analysis and managing automated diagnostics
• Optimize high-performance networking and storage integration to prevent GPU starvation during multi-node training runs
• Lead incident management efforts, including major incident response and conducting blameless post-mortems to drive operational excellence

Required qualifications

• 5+ years of experience in SRE, Systems Engineering, or Infrastructure Engineering in high-density Linux environments
• 3+ years of hands-on experience with data center class NVIDIA GPUs in distributed settings
• Advanced proficiency in Kubernetes administration and orchestration
• Strong programming skills in Python, Go, or Bash, with experience in Terraform and Ansible
• In-depth knowledge of InfiniBand and RoCEv2 networking technologies