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
Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our micro factories (lines of robotic cells). Our robots, and the software that controls them, are deployed in a variety of factory conditions and help support the manufacturing operations for some of the biggest names in the industry.
As a Senior Software Engineer, you will design, create, and integrate off the shelf MES components into scalable systems that help our users operate in our factory. You will work on a team with other Software Engineers in the Bright Machines San Francisco office to define, architect, implement, and deploy our software stack – from robot to cloud.
This is a unique opportunity to be part of a greenfield development effort that will change the way companies build and produce products. If you’re ready to apply exceptional engineering practices and build the software that will define the next generation in manufacturing, this is your opportunity to “Be Bright”.
WHAT YOU WILL BE DOING
Implement and deploy Dassault Apriso MES to support Bright Machines’ manufacturing operations
Configure and extend Apriso and build integrations with enterprise and automation systems
Develop and validate MES workflows to ensure reliable execution of manufacturing processes
Partner with other software teams, operations, IT, and vendors to deliver MES solutions
Troubleshoot and optimize MES performance and data accuracy in production environments
WHAT YOU WILL BRING
B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, Manufacturing, or a related field
5+ years of experience implementing or supporting MES or manufacturing software systems
Strong understanding of manufacturing execution, shop-floor workflows, and system integration
Ability to work across diverse compute environments (Windows, Linux, on-prem, cloud)
Experience interfacing with manufacturing hardware or industrial data sources
IT WOULD BE GREAT IF YOU HAD
Hands-on experience with Dassault Apriso or comparable MES platforms
Experience working directly with manufacturing users and process owners
Working knowledge of system delivery best practices including testing, deployment, and production support
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.
