ABOUT THE ROLE

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.

WHAT YOU WILL BE DOING

Lead Lean and continuous improvement initiatives across automated server assembly lines
Improve key manufacturing metrics including throughput, cycle time, first-pass yield, uptime, and OEE
Identify and eliminate bottlenecks in high-volume production environments
Drive implementation of Lean tools including Kaizen, 5S, Standard Work, Value Stream Mapping, SMED, and visual management
Optimize line balancing, workstation flow, labor utilization, and material movement across production
Partner with automation and manufacturing engineering teams to improve equipment performance and line reliability
Conduct root cause investigations using 8D, A3, Fishbone, PFMEA, and 5 Whys
Develop and track operational KPIs to sustain measurable improvements
Support ramp activities for new server programs and line expansions
Train and mentor manufacturing teams on Lean principles and continuous improvement culture

WHAT YOU WILL BRING

• 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

PREFERRED QUALIFICATIONS

• 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 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.