Bright Machines
Manufacturing
SeniorPlatform/MLOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Platform/MLOps Engineer at Bright Machines. Skills: Platform Engineering, MLOps, Kubernetes, CI/CD, Infrastructure as Code, Observability. Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloads. Write clean, maintainable code”
What You'll Achieve.
Make lasting, impactful changes for our company and our customers; Create the factory of the future; Deliver products to meet the demands of today while building a platform to take advantage of what comes next; Provide end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions; Improve developer velocity
Industry & Context.
Solve our customers’ unique challenges; Investigate design approaches; Evaluate technical feasibility
Travel 25%
What They're Looking For.
Must Have
At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), Proficiency in at least one modern programming languages (Python, Javascript, C#, Go, etc), Demonstrated industry best-practices in MLOps, Proficiency with CI/CD tools and GitOps workflows, Familiarity with running GPU workloads in kubernetes, 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)
Nice to Have
Experience in air-gapped or extremely strict security environments, 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
What You'll Do.
and maintain reliable
and secure infrastructure
with a focus on our ML/AI pipelines and workloads
Perform peer code-reviews
Write clear and concise documentation
Engage in cross-team communication and knowledge sharing
Investigate design approaches
Prototype new technology
Evaluate technical feasibility
and deploy GPU workloads in kubernetes
Build scalable systems that are foundational to the Bright Machines technology stack
Focus on our AI/ML infrastructure
and maintain our training pipelines
and inference app workloads
How You'll Work.
Team & Collaboration
Collaborate with the Smart Robotics team; Collaborate with the Platform Engineering team; Pair with adjacent teams to understand how frameworks and infrastructure are used; Engage in cross-team communication and knowledge sharing
Communication Scope
Cross-team communication; Communicating with users; Communicating with technical leaders; Communicating with management
Full Job Description
## Description 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 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 Senior Platform/MLOps Engineer, you will build scalable systems that are foundational to the Bright Machines technology stack. With a focus on our AI/ML infrastructure, you will design, implement, and maintain our training pipelines, model deployments, and inference app workloads. Our computer vision and deep learning models are used for defect detection, classification, and visual validation, providing end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. You will collaborate with the Smart Robotics team and the Platform Engineering team to design, implement, and deploy our GPU workloads in kubernetes. If you are ready to apply exceptional engineering practices and build the platform that
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