Infrastructure Engineer

• Manage a GPU cluster supporting diverse research workloads from prototypes to multi-node training of frontier models
• Maintain and develop a Kubernetes cluster on bare-metal H100 cloud instances to support new workloads and users
• Implement security measures to protect sensitive data and collaborations with partners having stringent requirements
• Support novel ML workloads by architecting flexible infrastructure solutions

This role enables cutting-edge AI research by providing robust infrastructure that supports diverse workloads and protects sensitive collaborations, contributing to the advancement of safe and beneficial AI development.

• Experience managing GPU clusters and Kubernetes infrastructure
• Knowledge of security measures for protecting sensitive data
• Ability to architect flexible infrastructure solutions for ML workloads
• Experience supporting researchers with compute problems

No benefits information provided in the job description.

FAR AI appears to be an organization focused on AI research and development, particularly supporting diverse research workloads including frontier model training and novel ML workloads.