Senior Software Engineer – AI Research Clusters

NVIDIA

Senior Software Engineer designing and implementing solutions for GPU clusters in ML environments at NVIDIA. Focused on performance, reliability, and engineering excellence in advanced computing applications.

Posted 4/30/2026full-timeRemote • California, Massachusetts, Oregon, Texas • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsDockerKubernetesLinuxPythonRust

About the role

Key responsibilities & impact

Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers.
Design, develop and maintain engineering solutions to understand the pain points of validating, monitoring and operating GPU clusters at scale.
Research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.
Participate in on-call support for systems, platforms built and owned by the team.

Requirements

What you’ll need

BS/MS in Computer Science, Engineering, or equivalent experience.
5+ years in software/platform engineering, including 3+ years 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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

software development lifecycleLinuxPythonC++RustDockerKubernetesGitLab CIAIOpsAgentic AI

Certifications

BS in Computer ScienceMS in Computer ScienceEngineering degree