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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.
WHAT YOU WILL BE DOING
- Design, implement, and maintain reliable, scalable, and secure infrastructure to support applications and automation systems.
- Own and continuously improve platform engineering tools and services, including documentation and cross-team communication.
- Automate infrastructure provisioning, configuration management, and deployment pipelines.
- Manage CI/CD systems to enable efficient and reliable delivery of software.
- Implement and operate observability solutions (logging, monitoring, alerting) to ensure uptime and system performance.
- Enforce security best practices, including vulnerability management and incident response readiness.
- Participate in the on-call rotation for services owned by the Platform Engineering team.
WHAT WE WANT TO SEE
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
- Strong experience with physical infrastructure, including networking equipment and servers.
- Proficiency with CI/CD tools and GitOps workflows.
- Hands-on coding experience in Python and Shell scripting.
- Solid understanding of Linux internals and system administration.
- Experience with public cloud providers (AWS, Azure, or GCP).
- Proficiency with Infrastructure as Code tools (Terraform, Ansible).
- Deep knowledge of Kubernetes (self-hosted and managed), including Helm.
- Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
IT WOULD BE NICE IF YOU HAD
- Experience with bare-metal provisioning (MaaS or similar)
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 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
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- At least 5 years of experience in Platform Engineering, DevOps, or Site Reliability Engineering
- Strong experience with physical infrastructure, including networking equipment and servers
- Experience with CI/CD tools and GitOps workflows
- Hands-on coding experience in Python and Shell scripting
- Understanding of Linux internals and system administration
- Experience with public cloud providers such as AWS, Azure, or GCP
- Proficiency with Infrastructure as Code tools including Terraform and Ansible
- Deep knowledge of Kubernetes, including self-hosted and managed environments, and Helm
- Familiarity with observability stacks including Prometheus, Grafana, and OpenTelemetry
- Experience with bare-metal provisioning using MaaS or similar tools
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.
