Manufacturing Quality Engineer – Rack Infrastructure

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 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 program for our rack infrastructure. This role will be responsible for vendor selection and oversight quality assurance process improvement rack delivery 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 external suppliers and internal engineering and operation stakeholder teams you will help ensure OpenAIs datacenters are delivered on time and built to the highest operational standards.

In this role you will:

Vendor Oversight & Performance Management

• Conduct vendor capability assessments manufacturing evaluation audits and improve vendor performance across production 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 delivery processes.

• Establish effective cross-functional communication between manufacturing sites datacenter design teams and operations.

Quality Leadership & Collaboration

• Provide guidance to vendor and contractor quality teams ensuring adherence to OpenAIs 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.

Travel

• Domestic and international travel as needed (estimated 3050%) to manufacturing sites datacenter locations and partner facilities.
  

You might thrive in this role if you:

• 10 years in manufacturing quality management supplier quality engineering process improvement or datacenter engineering/operations.

• Bachelors 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.

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 OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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