Senior Lean Manufacturing Engineer / Continuous Improvement Engineer
Quick Summary
RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®,
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 manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model 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 a brighter way of manufacturing AI infrastructure, we’d love to speak with you.
Bright Machines is seeking a Senior Lean Manufacturing Engineer / Continuous Improvement Engineer to lead operational excellence initiatives at our Florence, Kentucky facility. Our Florence facility is at the forefront of next-generation manufacturing—using automated production lines, advanced robotics, and intelligent software to build server and data center hardware at scale. We are creating smarter, faster, and more resilient production systems to meet the rapidly growing demands of the AI and cloud infrastructure market.
This role will focus on optimizing automated assembly lines producing high-volume server and compute infrastructure products. You will lead continuous improvement efforts across manufacturing operations—driving higher throughput, improving line efficiency, reducing waste, and enabling scalable, repeatable manufacturing performance.
This is a highly visible, hands-on role requiring strong floor presence, technical problem-solving, and collaboration across manufacturing, automation, quality, process engineering, supply chain, and leadership teams.
- Bachelor’s degree in Industrial, Mechanical, Manufacturing Engineering, or related field (or equivalent experience)
- 7+ years of experience in Lean Manufacturing, Continuous Improvement, or Manufacturing Engineering
- Experience supporting high-volume automated production lines
- Strong knowledge of Lean manufacturing systems and operational excellence tools
- Proven success improving throughput and efficiency in fast-paced manufacturing environments
- Experience in electronics assembly, server manufacturing, data center hardware, or complex electromechanical systems strongly preferred
- Strong analytical and problem-solving skills with a data-driven mindset
- Excellent communication and cross-functional leadership skills
- Comfortable working in a fast-moving, production-first environment
- Lean Six Sigma Black Belt (or equivalent certification)
- Experience in electronics, robotics, automation, or data center hardware manufacturing
- Experience launching or scaling new production lines
- Familiarity with MES, ERP, and manufacturing analytics systems
- Experience in highly automated or Industry 4.0 environments
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing.
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.
Location & Eligibility
Listing Details
- Posted
- May 20, 2026
- First seen
- May 21, 2026
- Last seen
- July 20, 2026
Posting Health
- Days active
- 52
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- July 12, 2026
Signal breakdown
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