Senior Software Engineer, AI Compute Scheduling

Job Description

Design, build, and operate scheduling systems for large GPU fleets across Slurm and Kubernetes, including queueing, topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads. Improve GPU utilization and scheduling reliability, build supporting services and APIs, and collaborate with open-source communities and internal platform, infrastructure, and research teams.

Requirements: Requires a bachelor's or master's degree in computer science, computer engineering, electrical engineering, or a related field, or equivalent experience, plus at least six years building production systems software. Candidates need deep experience with a batch or cluster scheduler, strong Go, C, or C++ programming and Python skills, hands-on Kubernetes experience, solid Linux systems knowledge, and a record of improving production services.

Key Skills: Slurm, Kubernetes, Go, C, C++, Python, Batch Scheduling, Cluster Scheduling, Kubernetes Controllers and Operators, Custom Resource Definitions, Linux Systems, Containers, Cgroups, GPU Scheduling, Topology-Aware Placement, Production Reliability

Benefits: Equity, Benefits