Senior Data Visualization Engineer – AI Systems Performance

Details

NVIDIA is at the forefront of AI innovation, powering breakthroughs from advanced research applications to real-time generative AI systems. The DGX Cloud AI Efficiency team develops and delivers the foundational tools and infrastructure that enable high-performance AI workloads across NVIDIA’s cloud ecosystem. The team is seeking a Senior Data Visualization Engineer to build next-generation performance visualization and analysis tools that empower AI researchers and engineers to understand, optimize, and scale their workloads.

Responsibilities

• 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.

Requirements

• 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 (unspecified libraries — experience with building production visualization tools expected).
• 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

• 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.

Compensation & Benefits

• Base salary ranges (location, experience, and level dependent):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and benefits.

Additional information

• Applications accepted at least until October 20, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.