ers to monitor GPU utilization, memory pressure, and job failures.

Build self-healing mechanisms and chaos engineering practices to proactively detect and recover from GPU node failures or driver instability.

Collaborate with ML Platforms and Infrastructure teams to optimize containerized GPU workloads for throughput, cost-efficiency, and SLA compliance.

Develop and enforce IaC standards using Terraform, Ansible, or Pulumi for reproducible, version-controlled GPU infrastructure provisioning.

Lead incident response for GPU system outages; conduct post-mortems and drive reliability improvements across the stack.

Skills & Qualifications

Must-Have

Preferred

Benefits & Culture Highlights

Work with bleeding-edge GPU stacks powering next-gen AI models—directly shaping infrastructure that impacts global AI innovation.
High-ownership culture with autonomy to architect and own critical reliability systems from design to deployment.
Collaborative, engineering-first environment with strong mentorship, peer code reviews, and dedicated SRE guilds for cross-team learning.

Skills: nvidia,ml,platforms,automation,building,infrastructure,cloud,teams,reliability,gpu,code

Site Reliability Engineer (SRE) GPU Infrastructure