Senior Software Engineer, AI Compute Scheduling

Design and operate scheduling systems for large GPU fleets across Slurm and Kubernetes, including topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads. Build supporting services, improve GPU utilization and scheduling performance, own production reliability, and contribute to open-source projects while collaborating with platform and research teams.

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

Slurm, Kubernetes, Go, C, C++, Python, Batch Scheduling, Cluster Scheduling, GPU Scheduling, Kubernetes Controllers and Operators, Linux Systems, Containers, cgroups, Distributed Systems, Production Service Reliability, Workflow Orchestration

Equity, Benefits