GPU ML Infra Engineer for Clusters & AIOps Equity

Socket.dev; North Carolina; On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Software Engineer to accelerate the next era of machine learning innovation, focusing on delivering reliable GPU clusters to internal researchers and minimizing operational disruption.

You will design and implement engineering solutions, explore AIOps and Agentic AI to reduce toil, and participate in on-call support for systems built by the team. Strong Linux, Python/C++/Rust skills are expected.

Qualifications

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

Responsibilities

• Work with the AI Platform org to understand pain points of validating, monitoring and operating GPU clusters at scale, then design and maintain engineering solutions.
• Research in traditional AIOps and Agentic AI to reduce operation toil.
• Participate in on-call support for systems and platforms owned by the team.

Skills

Python

C++

Rust

AIOps awareness

Education

BS/MS in Computer Science or Engineering

Tools

Docker

Kubernetes

GitLab CI

CI/CD

Job description

NVIDIA is seeking a Software Engineer to accelerate the next era of machine learning innovation, focusing on delivering reliable GPU clusters to internal researchers and minimizing operational disruption.

You will design and implement engineering solutions, explore AIOps and Agentic AI to reduce toil, and participate in on-call support for systems built by the team. Strong Linux, Python/C++/Rust skills are expected.