Remote AI Research Clusters Engineer - ML Infra & GPU

NEPSE Trading; United States; Hybrid; USD 124,000 - 196,000; Full time

Job summary

NVIDIA is seeking a Software Engineer to advance AI research clusters on scalable GPU systems. You will design and implement solutions to deploy reliable, secure, and high-performance GPU clusters for internal researchers, enabling them to train, fine-tune, and deploy ML models.

You will work with the AI Platform to reduce operational toil, perform on-call support, and explore AIOps and Agentic AI in production. The role requires strong Linux, Python, C++, and distributed systems skills.

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 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

• Understand pain points of validating, monitoring and operating GPU clusters at scale.
• Design, develop and maintain engineering solutions to solve those pain points.
• Research in traditional AIOps and Agentic AI to reduce operation toil.
• Participate in on-call support for systems, platforms built and owned by the team.

Job description

NVIDIA is seeking a Software Engineer to advance AI research clusters on scalable GPU systems. You will design and implement solutions to deploy reliable, secure, and high-performance GPU clusters for internal researchers, enabling them to train, fine-tune, and deploy ML models.

You will work with the AI Platform to reduce operational toil, perform on-call support, and explore AIOps and Agentic AI in production. The role requires strong Linux, Python, C++, and distributed systems skills.