Senior GPU Compute Scheduler & Systems Engineer

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is seeking an experienced engineer to join the Scheduling team to design and enhance GPU compute clusters for AI/ML workloads. Candidates should have a Bachelor's degree in Computer Science and 5+ years of relevant experience in system programming and batch scheduling.

This role allows for hands-on work with cutting-edge technology, focusing on performance optimizations and automation solutions.

Salary ranges from $152,000 to $241,500, based on level and experience.

Qualifications

• Bachelor's degree or equivalent experience.
• 5+ years of work experience.
• Strong understanding of batch scheduling.
• Experience in systems programming languages (C/C++, Go).
• Established experience in Linux OS.

Responsibilities

• Design and develop new scheduling features.
• Provide support to staff for batch scheduler issues.
• Build and improve GPU-accelerated computing ecosystems.
• Develop large scale automation solutions.

Skills

Batch scheduling

C/C++

Go

Python

Bash

Linux

Container technologies

Deep learning frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

SLURM

K8s

Docker

Singularity

Podman

Job description

NVIDIA Gruppe is seeking an experienced engineer to join the Scheduling team to design and enhance GPU compute clusters for AI/ML workloads. Candidates should have a Bachelor's degree in Computer Science and 5+ years of relevant experience in system programming and batch scheduling.

This role allows for hands-on work with cutting-edge technology, focusing on performance optimizations and automation solutions.

Salary ranges from $152,000 to $241,500, based on level and experience.