制造质量工程师 – 数据中心基础设施
Manufacturing Quality Engineer – Datacenter Infrastructure
关于团队
OpenAI 与我们的资本和技术合作伙伴携手，正在建设一个全球先进的数据中心网络，以支持最严苛的 AI 工作负载。基础设施质量团队确保所有数据中心系统在制造、交付和调试过程中都达到最高标准的质量、可靠性和性能。
我们与制造合作伙伴、总包商、工程团队和运营人员紧密合作，确保每个组件都能随时进行安装、启动和长期服务。我们的工作涵盖从供应商资质审核到调试的全过程，确保我们在全球范围内的业务具备运营准备能力。
关于职位
我们正在寻找一位经验丰富的制造质量工程师（MQE），负责建立、实施和管理面向数据中心基础设施的制造导向质量计划。该职位将负责供应商监督、质量保证、流程改进和问题解决，针对所有关键系统。
您将领导供应商审计，监控绩效指标，并协调纠正措施，以确保可预测的交付时间表、降低风险和提高运营可靠性。通过与供应商、建设团队和内部利益相关者合作，您将帮助确保 OpenAI 的数据中心按时交付，并符合最高的运营标准。
出差
- 根据需要进行国内和国际出差（预计占40–60%），包括制造基地、数据中心地点和合作伙伴设施。
主要职责
供应商监督与绩效管理
- 进行制造评估、审计，并在生产、检验、测试和交付阶段提升供应商绩效。
- 制定并跟踪质量指标，以评估制造表现并识别趋势。
- 与供应商合作，优化流程、培训和质量控制，以在发货前降低风险。
计划开发与执行
- 开发并维护面向数据中心的制造质量计划，以支持全球部署时间表。
- 将制造质量要求整合到采购、设计和建设过程中。
- 在制造基地、建设团队和运营部门之间建立有效的跨职能沟通。
质量领导与协作
- 为供应商和承包商的质量团队提供指导，确保其遵守 OpenAI 的标准和规范。
- 与工程师协作
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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 Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance.
We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio.
About the Role
We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems.
You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards.
Travel
- Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities.
Key Responsibilities
Vendor Oversight & Performance Management
- Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases.
- Develop and track quality metrics to assess manufacturing performance and identify trends.
- Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment.
Program Development & Execution
- Develop and maintain a datacenter-focused manufacturing quality program that supports global deployment schedules.
- Integrate manufacturing quality requirements into sourcing, design, and construction processes.
- Establish effective cross-functional communication between manufacturing sites, construction teams, and operations.
Quality Leadership & Collaboration
- Provide guidance to vendor and contractor quality teams, ensuring adherence to OpenAI’s standards and specifications.
- Collaborate with engineering, sourcing, construction, and operations to align quality processes with project goals.
- Mentor vendor teams and provide structured feedback to drive continuous improvement.
Issue Resolution & Continuous Improvement
- Audit quality activities at vendor and project sites to verify compliance with requirements.
- Lead corrective and preventive action plans for audit findings and quality nonconformances.
- Facilitate root cause analysis for recurring manufacturing issues and drive systemic process improvements.
Schedule & Documentation Management
- Monitor manufacturing schedules to ensure on-time delivery to datacenter sites.
- Ensure testing and inspection documentation is complete, accurate, and aligned with project milestones.
- Participate in project quality, commissioning, and operational readiness meetings.
Qualifications
- 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 Skills
- Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and controls components.
- Experience in supplier performance management for mission-critical facilities.
- ASQ Certified Quality Engineer, Quality Manager, or Quality Auditor.
- PMP or equivalent project management certification.
- Experience in industrial or high-volume manufacturing environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.