Quality Engineer - Rack Infrastructure & Site Operations - Stargate
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 3
Project Management @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI is building a global network of advanced datacenters to support demanding AI workloads. The Industrial Compute team ensures datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. This role focuses on establishing and managing a comprehensive quality program across the global supply chain and manufacturing sites, ensuring products are delivered ready for installation, startup, and long-term service.
Responsibilities
- Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules.
- Drive end-to-end product quality and maintain/elevate manufacturing site quality standards.
- Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases.
- Lead site and fixture validation efforts and implement corrective and preventive actions (CAPA) to address root causes.
- Track and develop quality metrics (e.g., First Pass Yield) to assess manufacturing performance, identify trends, and refine processes, training, and quality controls.
- Lead yield improvement initiatives (Yield Bridge, CPI) and facilitate root cause analysis for recurring manufacturing and datacenter reliability issues.
- Establish cross-functional communication between manufacturing sites, datacenter design teams, and operations.
- Mentor supplier teams, provide structured feedback, and manage supplier performance for predictable delivery schedules and reduced operational risk.
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.
Preferred Qualifications
- Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.
- Experience in supplier performance management for mission-critical facilities.
- ASQ Certified Quality Engineer, Quality Manager, Quality Auditor or Lean Six Sigma certified Green Belt.
- PMP or equivalent project management certification.
- Experience in industrial or high-volume manufacturing environments.
Travel
- Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities.
Benefits
- Base pay range: $205,000 – $335,000 (offers equity). Base pay may vary depending on market location, knowledge, skills, and experience.
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
- 401(k) retirement plan with employer match.
- Paid parental leave, paid medical and caregiver leave.
- Paid time off: flexible PTO for exempt employees; up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and additional office closures; paid sick or safe time as required by law.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
About the Team
The Industrial Compute team partners with manufacturing partners, engineering teams, and operations staff to ensure components are delivered ready for installation and long-term service. The team supports datacenter systems to meet high standards of quality, reliability, and performance.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.