Quality Engineer, Rack Infrastructure & Site Operations
OpenAI · Singapore
CHECKED 35M AGO
Frontier labremotesenior$205k–$344k
At a glance
Highlights
- Drive end-to-end quality for datacenter systems powering demanding AI workloads.
- Lead supplier audits and yield programs across global manufacturing network.
- Ensure rack infrastructure delivers reliable, scalable datacenter operations.
What they offer
- equity
Ideal candidate
A seasoned manufacturing quality leader with 10+ years experience who thrives on solving systemic issues, influencing suppliers and executives, and ensuring mission-critical datacenter hardware ships reliably at global scale.
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 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 technical and executive audiences
- Willingness to travel domestically and internationally up to 30%
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