Manufacturing Engineering Manager (Electronics) in San Francisco

About Bright Machines

Bright Machines® is a next‑generation AI‑enabled manufacturer focused on data center infrastructure assembly operations. We use proprietary AI‑based robotics and software to assemble AI infrastructure hardware products for hyperscalers and leading original equipment manufacturers (OEMs). With our new AI factory, we address increasing market demands for computing power due to the surge of AI and the U.S. mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time‑to‑market.

We are headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. 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.

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 seeking a results‑driven Manufacturing Engineering Manager to lead end‑to‑end engineering activities related to production readiness, continuous improvement, and product industrialization at our electronics manufacturing site. This role integrates responsibilities across Process Engineering, Industrial Engineering, Product Engineering support, and New Product Introduction (NPI) for complex server and rack‑level systems.

The ideal candidate will have a strong technical background, leadership capability, and experience scaling high‑complexity electronics manufacturing operations, including automation.

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 R&D / Product organizations execution of automation opportunities, including robotics, guided assembly, digital work instructions, and in‑line inspection.
• Collaborate with internal R&D and external partners to develop and scale smart factory solutions.
• 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 We Want To See

Be Empowered To Change An Industry

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. mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time‑to‑market.

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