Manufacturing Engineering Manager (Electronics)

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

Manufacturing Engineering Managers at Bright Machines lead end-to-end engineering activities for production readiness, continuous improvement, and product industrialization at our electronics manufacturing site. This role spans Process Engineering, Industrial Engineering, Product Engineering support, and New Product Introduction (NPI) for complex server and rack-level systems. Success requires strong technical expertise, proven leadership ability, and experience scaling high-complexity, automation-driven electronics manufacturing operations.

WHAT YOU WILL BE DOING

• Lead development, optimization, and control of manufacturing processes for server assembly and rack-level integration.
• Define and implement standard work, tooling, process flows, and line balancing across production areas.
• Deploy lean manufacturing principles, PFMEA, and continuous improvement initiatives to maximize efficiency and yield.
• Own production line capacity planning, workstation layout, time studies, and labor efficiency modeling.
• Drive line design and space optimization initiatives in collaboration with facilities and automation teams.
• Manage takt time analysis and headcount models to support forecasted volume ramps.
• Provide factory-level product ownership in collaboration with customer / OEM design teams.
• Coordinate with Test, Quality, and Maintenance to support issue resolution, DfX reviews, and sustaining improvements.
• Support root cause analysis, field return investigations, and ECN implementation from a process standpoint.
• Lead engineering deliverables for EVT / DVT / PVT builds, including process validation, tooling readiness, operator training, and data review.
• Ensure cross-functional alignment (supply chain, quality, test) for smooth product ramp-up and launch stability.
• Manage engineering BOM setup, readiness reviews, and close collaboration with Program Management.
• Identify and collaborate with RnD / Product organizations execution of automation opportunities, including robotics, guided assembly, digital work instructions, and in-line inspection.
• Build and mentor a high-performing team of process, industrial, and NPI engineers.
• Oversee project timelines, engineering change management, and resource allocation across active programs.

WHAT YOU WILL BRING

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.