AI Infrastructure System Engineer Bangalore
Salary not listed • Bangalore, India • Full-time
Posted 3mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
Bangalore, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Infrastructure Engineer
About the job
At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This role is 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.
Responsibilities
- Design and build fleet automation systems for provisioning, validating, deploying, upgrading, repairing, and retiring GPU clusters with minimal human intervention.
- Build AI Infrastructure Agents to automate deployment, root-cause failures, incident triage, and autonomous remediation.
- Develop Fleet Intelligence platforms to monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures.
- Build software to maximize 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.
- Build internal platforms and developer tools for managing infrastructure through software.
- Continuously improve deployment velocity, reliability, and operational efficiency through automation.
- Partner with hardware, networking, platform, and AI teams to advance AI infrastructure.
Requirements
- 3+ years building distributed systems, infrastructure platforms, or large-scale backend software.
- Strong software engineering skills in Python, Go, or Rust.
- Experience building platforms, automation systems, or developer infrastructure.
- Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.
- Strong systems thinking with the ability to understand problems across hardware and software.
- Passion for solving complex infrastructure challenges through software.
- Automation-first mindset.