GPU AI Research Clusters Engineer — Scale ML Infra

NVIDIA; Westford (MA); On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA in Massachusetts is seeking a Software Engineer to accelerate ML innovation by delivering reliable GPU clusters for internal researchers. You will design, implement, and operate scalable systems that reduce toil and enable self-service improvements across the ML stack.

You will work with the AI Platform team to validate, monitor, and operate GPU clusters, explore AIOps and Agentic AI, and participate in on-call support.

Qualifications

• BS/MS in Computer Science, Engineering, or equivalent experience.
• 2+ years in software/platform engineering, incl. 1 year in ML infrastructure or distributed systems.
• Experience in software development lifecycle on Linux-based platforms.
• Strong coding skills in Python, C++ or Rust.
• Experience with Docker, Kubernetes, GitLab CI, automated deployments.
• Experience with AIOps or Agentic AI in production.

Responsibilities

• Collaborate across the AI Platform to understand the pain points in validating, monitoring and operating GPU clusters at scale.
• Design, develop and maintain engineering solutions to reduce operational toil.
• Research traditional AIOps and Agentic AI to further reduce toil.
• Participate in on-call support for systems, platforms owned by the team.

Skills

Python

C++

Rust

Linux

Education

BS/MS in Computer Science, Engineering, or equivalent experience

Tools

Docker

Kubernetes

GitLab CI

Job description

NVIDIA in Massachusetts is seeking a Software Engineer to accelerate ML innovation by delivering reliable GPU clusters for internal researchers. You will design, implement, and operate scalable systems that reduce toil and enable self-service improvements across the ML stack.

You will work with the AI Platform team to validate, monitor, and operate GPU clusters, explore AIOps and Agentic AI, and participate in on-call support.