Senior Software Engineer, At Scale Compute Analysis

NVIDIA is hiring a Senior Software Engineer to analyze large-scale datacenter workloads on GPU-accelerated clusters. The role turns telemetry and workload data into findings, visualizations, and practical tools, collaborating with engineering teams and applying machine learning when useful.

Responsibilities:

• Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities
• Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership
• Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work
• Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows

Requirements:

• 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly
• BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
• Strong Python and JavaScript
• Comfortable being responsible for an analysis end-to-end
• Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk)
• Shown grasp of core ML concepts
• strong analytical and problem-solving skills
• Collaboration and communication
• TensorFlow or PyTorch
• Linux and HPC / large-scale or performance-sensitive environments
• Experience visualizing high-dimensional problems
• Diligent, action-biased analysis style