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
Industrial Engineers at Bright Machines drive the performance of our automated server assembly operations. This role focuses on optimizing manufacturing workflows to improve throughput, reliability, and scalability across our automation platforms. You’ll partner closely with operations, engineering, and quality teams to ensure production lines run with precision and consistency. Success requires strong technical judgment, a process-optimization mindset, and experience in automated manufacturing environments.
WHAT YOU WILL BE DOING
Analyze automated assembly workflows, line balance, and workstation performance.
Evaluate cycle times, capacity, throughput, yield, downtime, and quality metrics to optimize equipment and labor utilization.
Identify inefficiencies and recommend improvements using Lean, Six Sigma, and data-driven methods.
Design and recommend equipment layouts, material flow, and workstation configurations for new or modified lines.
Support automation upgrades, new technologies, and optimization of automated assembly cells.
Lead and support Lean, 5S, Kaizen, and continuous improvement initiatives.
Collect, analyze, and visualize production data; prepare reports to support management decisions.
Collaborate with operations, engineering, maintenance, and quality teams to implement and sustain improvements.
Provide technical guidance and training to production teams to reinforce standardized processes.
Participate in new product introductions (NPI) to optimize manufacturability from design through production.
WHAT YOU WILL BRING
Bachelor’s degree in Industrial, Manufacturing, or Mechanical Engineering (or a related field).
Minimum 3+ years of experience in manufacturing, automation, or industrial engineering.
Experience with automated assembly, robotics, or electronics manufacturing is highly desirable.
Strong analytical and problem-solving skills, including process mapping, time studies, and workflow optimization.
Proficiency with statistical analysis, Excel, and data visualization tools.
Understanding of Lean manufacturing, 5S, and continuous improvement principles.
Ability to read and interpret engineering drawings, assembly instructions, and process documentation.
Excellent communication and collaboration skills across multiple departments.
Comfortable working in a fast-paced, automated manufacturing environment.
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.
