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 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.
ABOUT THE ROLE
Training Managers at Bright Machines lead the development and execution of workforce training programs that enable operational excellence, safety, and continuous improvement in our automated assembly operations. You will ensure teams have the skills and knowledge to confidently operate advanced equipment while fostering engagement and career growth. This role will work closely with Operations, Engineering, Quality, and HR to align training with production goals and compliance standards.Success requires experience building and managing training programs in automation-driven manufacturing environments, strong instructional and communication skills, and the ability to scale workforce capabilities in a fast-moving, innovative setting.
WHAT YOU WILL BE DOING
Develop and deliver technical training for automated server assembly, including new equipment, robotics, and process improvements.
Create and maintain curricula and materials for new hires, process changes, and equipment upgrades.
Integrate SOPs, work instructions, safety guidelines, and quality standards into all training programs.
Ensure training compliance with OSHA, company safety policies, and regulatory requirements, track certifications and audits.
Conduct hands-on and classroom training to ensure operational competency and production readiness.
Track training metrics, completion rates, and competency assessments to measure effectiveness.
Identify performance and skill gaps and design targeted training interventions.
Support continuous improvement initiatives by training on Lean, 5S, and efficiency best practices.
Manage onboarding programs to ensure understanding of safety, quality, and production expectations.
Partner with supervisors, engineering, and operations teams to align training with business needs.
Evaluate training effectiveness through assessments, performance data, and employee feedback.
Develop career progression and skills development plans to support employee growth and retention.
WHAT YOU WILL BRING
Bachelor’s degree in education, Industrial/Manufacturing Engineering, or related field.
Minimum 3+ years of experience in training and development, preferably in manufacturing, electronics, or automated assembly.
Experience designing and delivering technical, process, and safety training programs in high-volume or automated environments.
Leadership experience in managing trainers or training programs preferred.
Strong understanding of automated manufacturing, robotics, and assembly processes.
Excellent communication, facilitation, and presentation skills.
Proficiency in creating training materials, SOPs, and visual aids.
Strong organizational and project management skills.
Ability to assess training effectiveness and implement improvements.
Proficiency in computer systems and Learning Management Systems (LMS).
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.
