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Manufacturing Quality Engineer – Datacenter Infrastructure

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremote$230k–$355k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build a global network of advanced datacenters powering demanding AI workloads.
  • Lead vendor audits and quality program for critical datacenter infrastructure.
  • Drive corrective actions to ensure on-time, reliable datacenter delivery.

What they offer

  • Equity

Ideal candidate

Experienced quality leader passionate about operational reliability who thrives partnering with vendors and cross-functional teams to improve processes and deliver mission-critical infrastructure on time.

Requirements

  • 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations.
  • Bachelor's degree in engineering, manufacturing, construction management, or related field (or equivalent work experience).
  • Demonstrated ability to analyze data, solve problems, and improve manufacturing processes.
  • Proven track record managing deliverables for complex projects or supplier programs.
  • Strong communication skills with experience influencing both technical and executive audiences.

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗