NVIDIA is the pioneer of accelerated computing, a supercharged form of computing at the intersection of computer graphics, high-performance computing, and artificial intelligence. Our work is transforming industries from gaming and design to science and autonomous vehicles and profoundly impacting every aspect of modern life. We are looking for passionate, creative, and driven individuals to join us.
We are seeking a highly motivated intern to join our team and engage deeply with the world of GPU performance data. You will work with massive datasets generated from our cutting-edge GPUs, contributing to our understanding and optimization of their performance. This role extends beyond a purely academic exercise; you will be developing a functional product to provide critical insights directly to stakeholders within NVIDIA.
What you'll be doing:
Data ETL & Engineering: Designing, building, and maintaining robust ETL (Extract, Transform, Load) pipelines to process and manage vast amounts of GPU performance data from diverse sources.
Data Modeling: Developing flexible and scalable data models that can serve a wide variety of analytical and reporting needs, ensuring data integrity and efficiency.
Data Visualization: Creating and managing dynamic, intuitive, and insightful dashboards in PowerBI. You will be responsible for translating complex data into clear visualizations that convey a clear narrative and support strategic decision-making.
Data Mining & Insight Discovery: Applying statistical analysis and data mining techniques to our rich datasets. You will identify subtle patterns, pinpoint performance bottlenecks, and discover actionable insights that will inform future product development.
Collaboration: Working closely with performance architects, engineers, and product managers to understand their requirements and deliver data-driven solutions.
What we need to see:
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. We are seeking individuals who demonstrate initiative, explore novel approaches, and assume responsibility for their project deliverables.
Excellent problem-solving and communication skills.
Ways to stand out from the crowd:
A demonstrated passion for data analysis and for discerning the underlying drivers of data trends.
Familiarity with data analysis libraries in Python (e.g., Pandas, NumPy, Scikit-learn).
A strong interest in or foundational knowledge of computer hardware, computer architecture, or GPU technology.
Previous project or internship experience involving data analysis or visualization.
This is a unique opportunity to acquire practical experience across the full data lifecycle—from raw data to actionable insight. Interns will not only learn about data modeling and ETL but will also acquire invaluable knowledge regarding NVIDIA's state-of-the-art GPU technology. If you are an active learner motivated to contribute tangibly to a real-world product, we encourage you to apply.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we encourage you to apply. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.