Manufacturing Quality Engineer – Datacenter Infrastructure
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labremote$230k–$355k
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