1 day ago
Munich, GermanyIntern
Responsibilities
- Develop and analyze deep learning, graph, machine learning, and data analytics techniques.
- Optimize AI performance on current- and next-generation GPU architectures.
- Work with customers to understand their problems and provide AI solutions using GPUs.
- Collaborate with architecture, research, libraries, tools, and system software teams on future architectures, software platforms, and programming models.
- Travel to conferences and customer or developer on-site visits as needed.
Requirements
- Pursuing a bachelor's, master's, or PhD degree in engineering, computer science, or a related natural science discipline with a strong computational profile.
- Knowledge of C/C++, deep learning frameworks, programming techniques, and AI algorithms.
- Hands-on experience with parallel programming, ideally CUDA C/C++.
- Strong communication, organization, problem-solving, time-management, and task-prioritization skills.
Benefits
- Internship opportunity with NVIDIA's Compute Developer Technology team.
- Some travel is required for conferences and on-site developer visits.
Tech Stack
CC++
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.