The role involves analyzing large-scale datacenter workloads on GPU-accelerated clusters, focusing on turning telemetry and workload data into actionable insights. You will collaborate with engineers across various domains, applying machine learning and deep learning techniques when applicable. The position emphasizes a supportive and diverse environment where innovative thinking is encouraged. Your contributions will help improve applications and platforms by identifying trends and summarizing findings for stakeholders.

• 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 proficiency in Python and JavaScript.
• Experience with telemetry and observability stacks such as Grafana, Elasticsearch, or Splunk.
• Demonstrated understanding of core machine learning concepts and strong analytical skills.

• Analyze large-scale workloads and infrastructure signals to identify improvement opportunities.
• Work with high-dimensional data to spot trends and summarize conclusions.
• Collaborate with the team to clarify questions and document methods for future reference.
• Build and maintain practical visualizations and lightweight implementations within existing software workflows.

• 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.