Senior Data Visualization Engineer – AI Systems Performance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

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
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

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

Skills

Data Visualization

UI/UX Design

Numerical Data Analysis

Statistical Charting

Visual Storytelling

System Performance Analysis

Analytics Pipelines

Prototyping

User Research

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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