Senior Platform/MLOps Engineer at Bright Machines

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

190000.0

Posted On

28 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Platform Engineering, MLOps, DevOps, SRE, Python, Javascript, C#, Go, CI/CD, GitOps, GPU Workloads, Kubernetes, Terraform, Ansible, Prometheus, Grafana

Industry

Manufacturing

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 will define the next generation in manufacturing, this is your opportunity to “Be Bright”. \n WHAT YOU WILL BE DOING 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, 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 YOU WILL BRING 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) Demonstrated industry best-practices in MLOps Proficiency with CI/CD tools and GitOps workflows Familiarity with running GPU workloads in kubernetes Strong 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 GREAT IF YOU HAD 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 \n $160,000 - $190,000 a year \n 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.

Responsibilities

The role involves designing, implementing, and maintaining reliable, scalable, and secure infrastructure focused on ML/AI pipelines and workloads, including writing clean code and documentation while collaborating on GPU workload deployment in Kubernetes. Responsibilities also include pairing with adjacent teams to understand framework usage and continuously improving infrastructure to boost developer velocity.