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NVIDIA dezvoltă tehnologii de calcul accelerat și inteligență artificială utilizate în domenii precum jocurile video, centrele de date, cloud computing, asistența medicală, producția, industria auto și robotica. Activitatea companiei acoperă unități de procesare grafică, platforme de inteligență artificială, simulare și soluții dedicate anumitor industrii, inclusiv NVIDIA Omniverse pentru fluxuri de lucru colaborative 3D, NVIDIA DRIVE pentru dezvoltarea vehiculelor autonome și NVIDIA Clara pentru aplicații medicale. Compania reunește echipe tehnice numeroase care lucrează la infrastructura și software-ul ce susțin calculul avansat, simularea și analiza bazată pe inteligență artificială.
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.
Descriere
- 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
Cerințe
- 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
Beneficii
- 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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