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
Platform Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our flexible robotic manufacturing lines. 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 Staff Platform Engineer, you will build scalable systems that are foundational to the Bright Machines technology stack. You will work with Engineers across the Bright Machines organization to define, architect, implement, and deploy our software stack – from robot to cloud. If you’re ready to apply exceptional engineering practices and build the platform that will define the next generation in manufacturing, this is your opportunity to “Be Bright”.
WHAT YOU WILL BE DOING
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Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling that contribute to Bright Machines' vision of Software Defined Manufacturing
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Write clean, maintainable code, and perform peer code-reviews
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Write clear and concise documentation and engage in cross-team communication and knowledge sharing
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Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
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Pair with adjacent teams to understand how your frameworks and infrastructure are actually used in the field, continuously improving them and leveraging recent advances to improve developer velocity
WHAT WE WANT TO SEE
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At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
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B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, or a related field
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Proficiency in at least one modern programming languages (Python, Javascript, C#, Go, etc)
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Proficiency with CI/CD tools and GitOps workflows
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Deep knowledge of Kubernetes (self-hosted and managed), and modern k8s paradigms (e.g. CNCF)
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Proficiency with Infrastructure as Code tools (Terraform, etc) and configuration management tools (Ansible, etc)
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Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
IT WOULD BE NICE IF YOU HAD
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Experience with bare-metal or on-prem infrastructure
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Experience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needs
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Knowledge and demonstrated application of software engineering best practices relating to the SDLC including code reviews, SCM, CI/CD, testing, and operations
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Demonstrated ability to mentor and grow other team members
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 the San Francisco Bay Area, California, and has 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.