Senior Software Engineer, GPU Cluster Infrastructure

• In this role, you'll operate FAR.AI's Kubernetes GPU cluster infrastructure for AI research.
• Manage cluster fleet operations including node lifecycle, driver rollouts, and capacity planning.
• Own batch scheduling and multi-tenancy with queues, quotas, priorities, and fair-share allocation.
• Design distributed storage systems for datasets and checkpoints with performance and fault-tolerance.
• Harden platform security through access controls, network policies, and workload isolation.

• In this role, you'll operate FAR.AI's Kubernetes GPU cluster infrastructure for AI research.
• Manage cluster fleet operations including node lifecycle, driver rollouts, and capacity planning.
• Own batch scheduling and multi-tenancy with queues, quotas, priorities, and fair-share allocation.
• Design distributed storage systems for datasets and checkpoints with performance and fault-tolerance.
• Harden platform security through access controls, network policies, and workload isolation.

FAR AI aims to ensure AI systems are trustworthy and beneficial to society. They incubate and accelerate research agendas that are too resource-intensive for academia but not yet ready for commercialisation by industry.