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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
Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling that contribute to Bright Machines' vision of Software Defined Manufacturing
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
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
At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, or a related field
Proficiency in at least one modern programming languages (Python, Javascript, C#, Go, etc)
Proficiency with CI/CD tools and GitOps workflows
Deep knowledge of Kubernetes (self-hosted and managed), and modern k8s paradigms (e.g. CNCF)
Proficiency with Infrastructure as Code tools (Terraform, etc) and configuration management tools (Ansible, etc)
Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
IT WOULD BE NICE IF YOU HAD
Experience with bare-metal or on-prem infrastructure
Experience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needs
Knowledge and demonstrated application of software engineering best practices relating to the SDLC including code reviews, SCM, CI/CD, testing, and operations
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.
Skills Required
- At least 5 years of experience in Platform Engineering, DevOps, or Site Reliability Engineering
- Bachelor’s or master’s degree, or equivalent, in Computer Science, Engineering, or a related field
- Proficiency in at least one modern programming language, such as Python, JavaScript, C#, or Go
- Proficiency with CI/CD tools and GitOps workflows
- Deep knowledge of Kubernetes, including self-hosted and managed environments, and modern Kubernetes paradigms such as CNCF
- Proficiency with infrastructure-as-code tools such as Terraform
- Proficiency with configuration management tools such as Ansible
- Familiarity with observability stacks such as Prometheus, Grafana, and OpenTelemetry
- Experience with bare-metal or on-premises infrastructure
- Experience gathering requirements and communicating system designs with users, technical leaders, and management
- Knowledge of software engineering best practices across the SDLC, including code reviews, source control management, CI/CD, testing, and operations
- Ability to mentor and develop other team members
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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