Data Science and Visualization Intern, GPU Performance - 2026 at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, High-Performance Computing, Artificial IntelligenceIndustries

Requirements

Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Science, Data Science, Business Analytics, Information Systems, or a related quantitative field
Strong foundational knowledge of database systems, data modeling, and ETL processes
Proficiency in SQL and at least one scripting language (Python preferred)
Hands-on experience with a major BI/visualization tool (PowerBI is strongly preferred)
A curious and proactive mindset, demonstrating initiative, exploration of novel approaches, and responsibility for project deliverables
Excellent problem-solving and communication skills

Responsibilities

Designing, building, and maintaining robust ETL pipelines to process and manage vast amounts of GPU performance data from diverse sources
Developing flexible and scalable data models that serve a wide variety of analytical and reporting needs, ensuring data integrity and efficiency
Creating and managing dynamic, intuitive, and insightful dashboards in PowerBI, translating complex data into clear visualizations that convey a narrative and support strategic decision-making
Applying statistical analysis and data mining techniques to identify patterns, pinpoint performance bottlenecks, and discover actionable insights for product development
Collaborating closely with performance architects, engineers, and product managers to understand requirements and deliver data-driven solutions

Skills

Key technologies and capabilities for this role

ETLData EngineeringData ModelingPowerBIData VisualizationStatistical AnalysisData Mining

Questions & Answers

Common questions about this position

What are the required qualifications for this Data Science and Visualization Intern role?

Candidates must be currently enrolled in a Bachelor's, Master's, or PhD program in Computer Science, Data Science, Business Analytics, Information Systems, or a related quantitative field, with strong knowledge of database systems, data modeling, and ETL processes, proficiency in SQL and at least one scripting language (Python preferred), and hands-on experience with a major BI tool like PowerBI.

What skills will help me stand out for this internship?

Stand out with a demonstrated passion for data analysis, familiarity with Python libraries like Pandas, NumPy, and Scikit-learn, interest in computer hardware or GPU technology, and previous experience in data analysis or visualization projects.

What does the role involve day-to-day?

The role includes designing ETL pipelines, developing data models, creating PowerBI dashboards, applying data mining techniques for insights, and collaborating with performance architects, engineers, and product managers.

Is this a full-time or part-time internship?

This is a full-time internship.

What kind of mindset is NVIDIA looking for in this intern?

NVIDIA seeks a curious and proactive mindset, along with excellent problem-solving and communication skills, from individuals who demonstrate initiative and take responsibility for their deliverables.

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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