Nvidia Senior Data Visualization Engineer – AI Systems Performance 

United States, Texas 

201250398

What you'll be doing:

• Design and develop intuitive, high-performance data visualization tools to display AI system efficiency, utilization, and bottlenecks across large-scale GPU clusters.

• Build automated analytics pipelines to transform and visualize performance profiling data into actionable insights.

• Collaborate with software engineers, GPU architects, and AI researchers to design visual interfaces that reveal system-level performance patterns and opportunities for optimization.

• Define visualization standards and methodologies to interpret complex numerical and profiling data for diverse technical audiences.

• Drive innovation in the user experience for AI performance dashboards through user research, prototyping, and iteration.

• Influence performance analysis workflows across engineering teams by developing scalable, integrated visualization frameworks.

What we need to see:

• Bachelor’s degree or higher in Computer Science, Data Visualization, Human-Computer Interaction, or a related field (or equivalent experience).

• 8+ years of experience in software tools or data visualization engineering.

• Strong programming skills in data visualization libraries

• Deep understanding of numerical data analysis, statistical charting, and visual storytelling for technical users.

• Experience designing polished UI/UX experiences tailored to technical audiences (engineers, data scientists).

• Solid foundation in system performance analysis methodologies, metrics, and profiling data structures.

• Proven ability to transform large, multidimensional datasets into clear, interactive visuals that drive decision-making.

Ways to stand out from the crowd:

• Experience with AI infrastructure performance visualization, GPU profiling, or cloud-scale system analytics.

• Familiarity with GPU computing environments and deep learning frameworks.

• Background in performance engineering or AI/ML tools development.

• Strong design sensibility with a portfolio demonstrating interactive data visualizations for complex systems.