Note: The job is a remote job and is open to candidates in USA. Bright Machines is an innovative company focused on transforming manufacturing through intelligent automation. As a Senior Platform/MLOps Engineer, you will design and maintain scalable systems for AI/ML infrastructure, supporting the manufacturing operations of major industry players.
Responsibilities
- 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
Skills
- 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)
- 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
Company Overview
Bright Machines brings together flexible factory robots with intelligent software, production data and machine learning. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://www.brightmachines.com.Company H1B Sponsorship
Bright Machines has a track record of offering H1B sponsorships, with 1 in 2026, 7 in 2025, 7 in 2024, 10 in 2023, 5 in 2022, 1 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.