AI Infrastructure System Engineer Bangalore

About the role

This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.

What you'll do

• Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention
• Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation
• Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals
• Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators
• Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads

What you need

• Python
• Go
• Rust
• Linux
• Kubernetes
• Terraform
• Any graduate

Good to have

• Ansible