Senior AI Compute Scheduler - GPU Fleet Orchestration

NVIDIA Corporation; Westford (MA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Westford, MA is seeking an experienced engineer to design and operate scheduling systems for large GPU fleets using Slurm and Kubernetes. You will work on topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads.

You will own production reliability, improve GPU utilization and scheduling performance, and collaborate with platform and research teams while contributing to open-source projects.

Qualifications

• Bachelor's or Master's degree in a relevant engineering or computer science field, or equivalent experience.
• At least six years building production systems software.
• Deep experience with a batch or cluster scheduler; strong Go, C, or C++ programming skills; Python proficiency.

Responsibilities

• Design and operate scheduling systems for large GPU fleets using Slurm and Kubernetes.
• Improve GPU utilization and scheduling performance.
• Own production reliability and respond to incidents.
• Collaborate with platform and research teams; contribute to open-source projects.

Skills

Go

C

C++

Python

Kubernetes

Slurm

Batch Scheduling

GPU Scheduling

Linux

Distributed Systems

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Kubernetes Controllers

Containers

cgroups

Job description

NVIDIA Corporation in Westford, MA is seeking an experienced engineer to design and operate scheduling systems for large GPU fleets using Slurm and Kubernetes. You will work on topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads.

You will own production reliability, improve GPU utilization and scheduling performance, and collaborate with platform and research teams while contributing to open-source projects.