Bright Machines

Bright Machines

Bright Machines collaborates with manufacturers to innovate and improve the design and production processes of products, promoting a more efficient approach to building.

Industrial Conglomerates
251-1K
Founded 2018
$311M raised

Description

  • Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling for ML/AI pipelines and workloads.
  • Build and support training pipelines, model deployment systems, and inference application workloads.
  • Collaborate with the Smart Robotics team and Platform Engineering team to design, implement, and deploy GPU workloads in Kubernetes.
  • Write clean, maintainable code and participate in peer code reviews.
  • Produce clear documentation and support cross-team communication and knowledge sharing.
  • Investigate design approaches, prototype new technologies, and evaluate technical feasibility.
  • Work closely with adjacent teams to understand how frameworks and infrastructure are used in the field and continuously improve them.
  • Improve developer velocity by iterating on platform capabilities and operational workflows.

Requirements

  • 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • B.S. or M.S. degree, or equivalent experience, in Computer Science, Engineering, or a related field.
  • Proficiency in at least one modern programming language such as Python, JavaScript, C#, or Go.
  • 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, including self-hosted and managed environments, and modern CNCF paradigms.
  • Proficiency with Infrastructure as Code tools such as Terraform and configuration management tools such as Ansible.
  • Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
  • Travel required up to 25%.
  • Experience in air-gapped or extremely strict security environments is preferred.
  • Experience communicating with users, technical leaders, and management to gather requirements and architect software systems is preferred.
  • Knowledge of SDLC best practices including code reviews, SCM, CI/CD, testing, and operations is preferred.
  • Demonstrated ability to mentor and grow other team members is preferred.

Benefits

  • Competitive salary of $150,000 - $170,000 per year.
  • Remote role based in the USA.
  • Opportunity to work on AI-enabled manufacturing and cutting-edge robotics technology.
  • Chance to impact a new category of manufacturing at scale.
  • Work with teams building software-defined manufacturing systems for major industry customers.

Interested in this position?

Apply directly on the company website

Apply Now

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