AI Research Clusters Engineer — GPU ML Infra & AIOps

NVIDIA AI; Durham (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI in Durham, NC is seeking an engineer to design and implement solutions that optimize the reliability and performance of GPU clusters for internal AI researchers. You will tackle complex ML infrastructure challenges and improve tooling for researchers.

Responsibilities include reducing operational toil through AIOps and Agentic AI, and providing on-call support for platforms. Requires a BS/MS in CS or Engineering with 2+ years in software engineering and proficiency in Python, C++, or

Qualifications

• Requires a BS/MS in CS or engineering with 2+ years in software engineering, including ML infrastructure.
• Proficiency in Python, C++, or Rust and experience with Docker and Kubernetes.

Responsibilities

• Design and implement engineering solutions to optimize GPU cluster reliability and performance.
• Provide on-call support for platforms and reduce operational toil with AIOps.

Skills

Python

C++

Rust

Docker

Kubernetes

Linux

Distributed Systems

ML Infrastructure

REST API

Slurm

GitLab CI

Education

Bachelor's degree in Computer Science or Engineering

Master's degree

Tools

Docker

Kubernetes

Slurm

GitLab CI

Job description

NVIDIA AI in Durham, NC is seeking an engineer to design and implement solutions that optimize the reliability and performance of GPU clusters for internal AI researchers. You will tackle complex ML infrastructure challenges and improve tooling for researchers.

Responsibilities include reducing operational toil through AIOps and Agentic AI, and providing on-call support for platforms. Requires a BS/MS in CS or Engineering with 2+ years in software engineering and proficiency in Python, C++, or