WHAT YOU WILL BE DOING
- Software architecture and design
- APIs and integration with ERP, shop-floor management systems and machine controls (PLCs, drivers, robot controllers, industrial communications protocols)
- Collaborate with IT (interfaces, security, company standards)
- Automatic data gathering, statistics, analytics and representation through reports and dashboards
- Create and maintain related controlled documentation
- Support system commissioning, qualification and de-bugging
- Manage software configuration control and release
WHAT WE WANT TO SEE
- BSc degree in Computer Science, Software Engineering or similar
- Minimum of 5 years of experience in: multi-disciplinary systems and multi-software platforms
- Industrial automation and industrial equipment controls, manufacturing process
- PLC/IPC logic and programming, troubleshooting and configuration with industry leading vendors (Beckhoff, Modicon, Keyence, Siemens, Omron, Mitsubishi, Toshiba, Aromat)
- Serial & Bus Communication protocols: e.g. Ethernet/Profinet, RS232/422/485, Modbus, CAN Open, IO-Link, EtherCAT, Profibus, TCP/IP and others
- Robotics programming: Fanuc, Nachi, Epson, Kuka, Denso
- ROS (Robot Operating System)
- knowledge in Kubernetes or Docker
- Phyton
- Technical savvy, system oriented, great aptitude to machines, processes and controls
- Love to work in a dynamic environment
- Capable of analyzing, de-bugging and solving complex problems
- Team player
- Kubernetes Based
- Linux Knowledge
- Proficient in programming
IT WOULD BE GREAT IF YOU HAD
- Great communicator
- Passionate and creative, hands-on, love to code
- Well organized, pays attention to detail, methodical
- English at a high level (written and oral)
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.
Skills Required
- BSc degree in Computer Science, Software Engineering or similar
- Minimum of 5 years experience in multi-disciplinary systems and multi-software platforms
- Experience with industrial automation and manufacturing equipment controls
- PLC/IPC logic and programming, troubleshooting and configuration with vendors (Beckhoff, Modicon, Keyence, Siemens, Omron, Mitsubishi, Toshiba, Aromat)
- Serial & bus communication protocols: Ethernet/Profinet, RS232/422/485, Modbus, CANopen, IO-Link, EtherCAT, Profibus, TCP/IP
- Robotics programming experience (Fanuc, Nachi, Epson, Kuka, Denso)
- ROS (Robot Operating System)
- Knowledge of Kubernetes or Docker (containerization)
- Python programming
- Linux knowledge
- APIs and integration with ERP, shop-floor management systems and machine controls (PLCs, drivers, robot controllers)
- Software architecture, design, software configuration control and release management
- Support system commissioning, qualification and debugging
- Proficient in programming
- Great communicator / English at a high level (written and oral)
- Passionate, creative, hands-on, love to code
- Well organized, pays attention to detail, methodical
What We Do
We deliver intelligent, software-defined manufacturing by bringing together our flexible factory robots with intelligent software, production data and machine learning. Our growing, global team of more than 300 robotics, software and manufacturing industry veterans believe building physical things should be as seamless and simple as creating digital products. Our software-defined manufacturing platform helps customers innovate faster to meet the growing demands of a new era of manufacturing.
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