Quality Engineer

Job Description

Job Description

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

Bright Machines is on a mission to transform how electronics are made—bringing intelligence, scalability, and flexibility to the factory floor. We combine the best of automation, machine learning, and software to modernize manufacturing from the ground up. We are looking for a Quality Engineer to join our team.

A Quality Engineer at Bright Machine supports production, engineering, and customer teams to ensure the consistent delivery of high-quality automated server assembly systems. In this role, you will leverage data, process discipline, and technical expertise to improve product quality, reduce defects, and strengthen operational excellence across our manufacturing and deployment lifecycle. You will work cross-functionally to identify root causes, implement corrective action, and champion a culture of quality throughout the organization.

WHAT YOU WILL BE DOING

• Lead quality assurance activities for automated server assembly cells, including inspections, audits, and validation of critical processes.
• Partner with Engineering to develop and maintain quality plans, test procedures, and acceptance criteria for new and existing automation systems.
• Conduct root-cause analysis (RCA) for defects, reliability issues, and field service escalations; drive effective corrective and preventive actions (CAPA).
• Monitor production and field performance data; identify trends, prevent recurrence, and promote continuous improvement using Lean and Six Sigma methodologies.
• Collaborate with suppliers to ensure component quality, resolve issues, and support incoming inspection requirements.
• Maintain documentation, including control plans, FMEAs, PFMEAs, process capability studies, and quality reports.
• Support customer quality requirements and interface with customer teams on audits, reporting, and problem resolution.
• Participate in New Product Introduction (NPI) activities, ensuring design-for-quality principles are applied early and effectively.
• Drive standardization and improvement of quality processes across Bright Machines’ manufacturing and service operations.
• Uphold Bright Machines’ commitment to safety, compliance, and operational excellence.

WHAT WE WANT TO SEE

BE EMPOWERED TO CHANGE AN INDUSTRY

Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.

Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.