NVIDIA
NVIDIA
NVIDIA गेमिंग, डेटा सेंटर, क्लाउड कंप्यूटिंग, स्वास्थ्य सेवा, विनिर्माण, ऑटोमोटिव और रोबोटिक्स सहित विभिन्न क्षेत्रों में उपयोग की जाने वाली त्वरित कंप्यूटिंग और कृत्रिम बुद्धिमत्ता प्रौद्योगिकियाँ विकसित करती है। इसका कार्य ग्राफ़िक्स प्रोसेसिंग यूनिट, AI प्लेटफ़ॉर्म, सिमुलेशन और उद्योग-केंद्रित समाधानों तक फैला हुआ है। इनमें सहयोगात्मक 3D वर्कफ़्लो के लिए NVIDIA Omniverse, स्वायत्त वाहन विकास के लिए NVIDIA DRIVE और स्वास्थ्य सेवा अनुप्रयोगों के लिए NVIDIA Clara शामिल हैं। कंपनी उन्नत कंप्यूटिंग, सिमुलेशन और AI-आधारित विश्लेषणों को समर्थन देने वाले बुनियादी ढाँचे और सॉफ़्टवेयर पर काम करने वाली बड़ी तकनीकी टीमों को एक साथ लाती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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