Full Time

Rack Product Engineer – AI Rack Infrastructure – Stargate at OpenAI

Company OpenAI
Location San Francisco
Salary $205K – $335K
How You'll Work onsite
Level senior
Sector Technology
Posted Posted 0 days ago

Job Description

We are seeking an experienced Rack Product Engineer to own the technical development, manufacturing readiness, and lifecycle performance of rack infrastructure deployed across OpenAI's datacenters.

This role sits at the intersection of hardware design, manufacturing, supplier engagement, and datacenter deployment. You will work closely with compute, mechanical, power, and networking teams to define rack architectures and ensure they are manufacturable, scalable, and operationally reliable.

Key responsibilities include owning the technical definition and lifecycle management of rack infrastructure, driving rack architecture decisions, translating system requirements into manufacturable rack-level designs, and partnering with design and manufacturing teams to ensure rack systems are optimized for manufacturability, assembly, serviceability, and datacenter installation.

The ideal candidate will have 10+ years of experience in hardware product engineering, system integration, manufacturing engineering, or datacenter infrastructure engineering, and a strong analytical and problem-solving skills with experience resolving complex hardware integration issues.

Additional requirements include experience developing and deploying rack-level infrastructure for compute systems or datacenters, demonstrated ability to drive cross-functional technical programs from concept through manufacturing and deployment, and strong communication and collaboration skills.

Preferred skills include experience with hyperscale datacenter infrastructure or large-scale compute deployments, deep familiarity with rack architectures, liquid cooling, power distribution systems, and compute integration, and experience working with ODMs, JDMs, or contract manufacturers.

As a Rack Product Engineer at OpenAI, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of innovative AI systems.

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