Staff Slurm Cluster & HPC Engineer

We are seeking a Staff Slurm Cluster & HPC Scheduling Engineer to own Slurm as a first-class, productized scheduling layer across that fleet. This person is the single technical owner of Slurm cluster architecture, multi-tenant scheduling policy, and cluster reliability on both bare-metal and VM-based GPU nodes, and will lead our adoption of the Slinky operator stack (slurm-operator, and slurm-bridge where it fits) so that Slurm and Kubernetes workloads can share the same GPU pool. The role is deeply hands-on, customer-facing during onboarding and escalations, and sets the engineering standard the rest of the platform team builds on.