Own the data platform that is used to collect and analyze performance data that is critical to understanding hardware, driver, and software performance.
Discover compelling data-driven stories that will lead to improvements in our performance analysis process.
Build 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 data into actionable insights.
Collaborate with software engineers, GPU architects, and AI researchers to build visual interfaces that reveal system-level performance patterns and opportunities for optimization.
Establish visualization guidelines and approaches to interpret complex numerical and profiling data for diverse technical audiences.
Drive innovation in user experience for AI performance dashboards through user research, prototyping, and iteration.

Bachelor’s degree or higher in Computer Science, Data Visualization, Human-Computer Interaction, or a related field (or equivalent experience).
5+ years of experience in data analytics or data visualization.
Strong programming skills in data visualization libraries.
Deep understanding of numerical data analysis, statistical charting, and visual storytelling for technical users.
Experience crafting polished UI/UX experiences tailored to technical audiences (engineers, data scientists).
Strong background in system performance analysis techniques, metrics, and profiling data structures.
Proven ability to transform large, multidimensional datasets into clear, interactive visuals that drive decision-making.
Proficiency in scripting language, such as Python, bash, etc.

Senior Full Stack Systems Engineer

Key skills