Senior AI Compute Scheduler - GPU Fleet Orchestration

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 180,000 - 270,000

Full time

3 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara is seeking an experienced engineer to design, build, and operate scheduling systems for large GPU fleets using Slurm and Kubernetes. You will improve GPU utilization and service reliability, build orchestration APIs, and contribute to open-source projects while collaborating with platform and research teams.

The role requires a strong background in batch/cluster scheduling, Go/C/C++, Python, and hands-on Kubernetes and Linux expertise, with a track record of

Qualifications

Requires a 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 and strong Go, C, or C++ programming plus Python.

Responsibilities

Design, build, and operate scheduling systems for large GPU fleets using Slurm and Kubernetes.
Improve GPU utilization and service reliability.
Contribute to open-source projects while collaborating with platform and research teams.

Skills

C++

Python

Slurm

Kubernetes

Kueue

Batch Scheduling

Cluster Scheduling

Linux Systems

Containers

Cgroups

GPU Scheduling

Topology-Aware Placement

Production Reliability

Workflow Orchestration

Education

Bachelor's or Master's degree in relevant field or equivalent experience

Tools

Slurm

Kubernetes

Kueue

Containers

Cgroups

Job description

The role requires a strong background in batch/cluster scheduling, Go/C/C++, Python, and hands-on Kubernetes and Linux expertise, with a track record of

Get your free, confidential resume review.

or drag and drop your file here.