
Bright Machines is a manufacturing startup that integrates robotics and AI-driven software to create a full-stack automation solution, enhancing manufacturing processes with software-defined robotics…

Bright Machines is a manufacturing startup that integrates robotics and AI-driven software to create a full-stack automation solution, enhancing manufacturing processes with software-defined robotics…
Founded: 2018
Product: Software-defined Microfactories (Brightware OS + Bright Robotic Cells)
Sector: Factory automation / manufacturing software & robotics
Recent funding: Series C closed June 25, 2024
Total funding (reported): ≈ $437M
Factory automation and manufacturing process optimization for electronics and data-center infrastructure
2018
Software Development
106000000
Series C equity financing closed June 25, 2024; reported participation from NVIDIA, Microsoft, Eclipse, Jabil, Shinhan Securities and venture debt from J.P. Morgan.
132000000
Combined $100M equity and $32M debt financing announced October 31, 2022.
435000000
Announced SPAC deal coverage referencing $435M via SPAC route.
“Includes participation from BlackRock (lead in Series C), NVIDIA, Microsoft, Eclipse Ventures, Jabil, Shinhan Securities; venture debt from J.P. Morgan”
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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
Location: California - Will Relocate
As an Automation Controls Engineer you will be designing and developing automated solutions, choosing parts, and programming our robotic systems.
Automation Controls Engineer are able to communicate effectively with all project stakeholders including customers, leadership, our sales teams, program management, research and development engineers, and delivery team engineers that bring customer solutions to life.
We have a passion for bringing together cross functional teams to creatively solve problems. We value working closely with different groups throughout project lifecycles and believe that creating and validating user requirements at the system and sub system level is essential for success.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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