Quality Engineer - Rack Infrastructure & Site Operations - Stargate
About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quali
What this role actually needs.
About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quali Responsibilities: - Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules. - Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases. - Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks. - Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations. - Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals. - Mentor supplier teams and provide structured feedback to drive continuous improvement. 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. - Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Quality Engineer - Rack Infrastructure & Site Operations - Stargate role.
- Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules.
- Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases.
- Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks.
- Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations.
- Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals.
- Mentor supplier teams and provide structured feedback to drive continuous improvement.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.
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Source: jobs.ashbyhq.com · Source ID: fff7b15d-a1a0-441f-90f1-5efcae7f0051 · Confidence: 97/100 · Last checked: May 7, 2026
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