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NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
Data Processing Developer Technology Intern - NVIDIA Munich Onsite
Join NVIDIA’s developer technology team in Munich to research GPU acceleration for AI and high-performance computing workloads. Optimize parallel algorithms across current CPU and GPU architectures.
Description
- Develop GPU acceleration methods for deep learning, machine learning, and other AI workloads
- Partner with industry and academic experts to analyze and optimize complex AI and HPC algorithms
- Optimize AI solutions for modern CPU and GPU architectures
- Publish or present optimization findings through developer blogs or relevant conferences
- Engage with and educate the developer community
- Contribute to the design of future hardware architectures, software, and programming models
- Work with NVIDIA teams across research, hardware, system software, libraries, and tools
Requirements
- Currently pursuing a PhD or master’s degree in computer science, computer engineering, or a related computational science field
- Fluent in C or C++, with a strong understanding of algorithms and software development
- Experience with parallel programming technologies such as CUDA, OpenACC, OpenMP, MPI, or pthreads
- Strong communication and organizational abilities
- A structured, logical approach to problem solving
- Effective time-management and prioritization skills
- Experience parallelizing and optimizing deep learning models in areas such as natural language processing, computer vision, or recommender systems would be an advantage
- Excellent knowledge of linear algebra would be an advantage
Benefits
- Paid or academic internship opportunity at NVIDIA
- Opportunity to collaborate with the developer community
- Opportunity to publish or present optimization work through developer blogs or relevant conferences
- Opportunity to help shape next-generation hardware architectures, software, and programming models
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