NVIDIA is seeking a Software Engineer to enhance machine learning innovation by delivering functional and reliable GPU clusters. The role involves collaborating with the AI Platform organization to address operational challenges and improve system performance. The engineer will also research AIOps and Agentic AI to streamline operations. This position empowers scientists and engineers to effectively train and deploy advanced ML models on powerful GPU systems.

• 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, and automated deployments.
• Experience with AIOps or Agentic AI applied successfully in a production environment.

• Work with coworkers across the AI Platform organization to understand pain points of validating, monitoring, and operating GPU clusters at scale.
• Design, develop, and maintain engineering solutions to systematically solve operational challenges.
• Research traditional AIOps and emerging Agentic AI to reduce operational toil.
• Participate in on-call support for systems and platforms built and owned by the team.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.