▷ Apply in 3 Minutes : GPU Infrastructure & Data Center Engineer

About the Role

We are seeking a highly skilled IT Solutions & GPU Infrastructure Lead to take complete ownership of our GPU-based server infrastructure. This role focuses on next-generation GPU systems used for AI / ML workloads, covering every aspect from data center colocation and setup to GPU slicing, MIG management, resource allocation, optimization, and compliance. You will lead the end-to-end lifecycle of GPU infrastructure — ensuring all servers are optimized, secure, and production-ready for both internal and customer use.

Key Responsibilities

1. Colocation & Infrastructure Setup

GPU colocation and end-to-end infrastructure setup will be entirely under your ownership and responsibility.

• Coordinate with data centers for rack installation, power, and cooling.
• Deploy and configure GPU-based servers for production readiness.

2. GPU & AI / ML Infrastructure

3. Systems & Virtualization

4. Monitoring & Performance Optimization

5. Security & Compliance

6. Networking & High-Performance I / O

7. Customer & Infrastructure Ownership

Qualifications

Why This Role Matters

This position owns the entire lifecycle of GPU-based infrastructure — from colocation to slicing, monitoring, and optimization. You will build and maintain the backbone of our AI / ML infrastructure, ensuring that all systems are efficient, scalable, and production-grade.