Senior AI Analytics Engineer - ML Insights & Visualization

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA is seeking a data-analytics-focused engineer in Santa Clara to drive large-scale workload analyses and derive actionable insights from complex datasets. You will collaborate with engineering and leadership to translate observations into concrete improvements and scalable visualizations.

You will apply Python and JavaScript skills, utilize telemetry stacks, and leverage ML concepts to build end-to-end analyses. This role emphasizes collaboration and a results-driven, autonomous work style.

Qualifications

• 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; quick learner; strong analytical and problem-solving skills.
• Collaboration and communication.

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.

Skills

Python

JavaScript

Data analysis

Telemetry

Communication

ML fundamentals

Education

BS/MS in Engineering, Mathematics, Physics, CS

Tools

Grafana

Elasticsearch

Splunk

Job description

NVIDIA is seeking a data-analytics-focused engineer in Santa Clara to drive large-scale workload analyses and derive actionable insights from complex datasets. You will collaborate with engineering and leadership to translate observations into concrete improvements and scalable visualizations.

You will apply Python and JavaScript skills, utilize telemetry stacks, and leverage ML concepts to build end-to-end analyses. This role emphasizes collaboration and a results-driven, autonomous work style.