Senior Staff System Engineer, GPU Fleet

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

We are seeking a Sr Staff System Engineer, GPU Fleet for our Coupang Intelligent Cloud (CIC) team, to serve as the senior technical owner for our hyperscale GPU compute infrastructure. In this role, you will define fleet architecture, drive reliability and automation at scale, and lead the operation and evolution of GPU systems supporting large‑scale AI training and inference workloads. This is a hands‑on, staff‑level individual contributor role with broad technical ownership, high operational impact, and significant cross‑functional influence across hardware, infrastructure, and datacenter operations.

CIC builds the infrastructure for abundant intelligence. We partner with leading AI labs, governments, and enterprises to deliver hyperscale GPU compute with high reliability, performance, and efficiency. Our infrastructure supports some of the most demanding AI training and inference workloads in production today.

We operate with urgency, deep ownership, and a strong bias toward execution. Reliability, operational excellence, and rigorous systems engineering are core to our business.

What You Will Do

As a Sr Staff System Engineer, GPU Fleet , you will be the senior technical owner for CIC’s large‑scale GPU compute infrastructure. This is a hands‑on senior individual contributor role with fleet‑level responsibility and broad cross‑functional influence .

You will define the technical direction for how GPU fleets are architected, operated, automated, and evolved across multiple generations of hardware. Your work will directly affect fleet reliability, operating efficiency, scalability, and customer success.

This role does not involve people management, but it carries principal‑level scope, autonomy, and decision‑making authority across infrastructure, hardware, and operations.

Key Responsibilities:

Fleet Architecture Technical Ownership

· Own the end‑to‑end technical architecture of hyperscale GPU fleets, including hardware platform selection, firmware strategy, OS configuration, drivers, networking, and observability.

· Define and enforce technical standards and best practices for fleet reliability, availability, performance, and operability.

· Lead major fleet‑wide initiatives such as new GPU platform bring‑ups, multi‑generation hardware transitions, and architectural redesigns.

· Evaluate trade‑offs across cost, performance, reliability, and time‑to‑deploy, and make technically sound decisions under ambiguity.

Reliability, Availability Performance

· Set and drive fleet‑level reliability, availability, and performance objectives.

· Lead root‑cause analysis and resolution of complex, systemic failures affecting large portions of the fleet or multiple datacenters.

· Identify recurring failure patterns and drive long‑term fixes spanning hardware, software, automation, and operational processes.

· Work directly with hardware vendors and partners to resolve platform‑level issues and influence future hardware designs.

Automation Systems Engineering

· Design and build large‑scale automation systems for:

· GPU fleet provisioning and lifecycle management

· GPU health validation, diagnostics, and certification

· Automated remediation, recovery, and replacement workflows

· Eliminate manual operational toil through durable, well‑designed tooling that scales with fleet growth.

· Ensure all fleet systems are observable, testable, and resilient under failure conditions.

Operational Leadership

· Act as a senior escalation point for critical production incidents impacting GPU availability or customer workloads.

· Participate in on‑call rotations with a strong emphasis on preventing future incidents , not just responding to them.

· Lead high‑severity post‑incident r