NVIDIA in Redmond is seeking a Scheduling Engineer to design and implement features for GPU compute clusters, enabling large multi-node AI workloads. You will focus on resource fairness, GPU occupancy, resilience, and performance across DL pipelines.
The role requires 5+ years in systems programming with C/C++, Go, Python, Bash, Linux, and experience with container tech (Docker/Singularity/Podman) and batch schedulers (SLURM, K8s). Equity and benefits are offered.
#J-18808-LjbffrSenior GPU Compute Scheduler – Scale AI Clusters in redmond at Unknown Company
This position is listed as full time and onsite.