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Developer Technology Engineering Intern - Compute Performance

NVIDIA· Intern
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Munich, Courbevoie, WuerseleninternPosted 3w ago

About the role

Internship in NVIDIA's Compute Developer Technology (Devtech) team focused on researching and developing GPU-accelerated techniques for high performance computing, collaborating across architecture, research, libraries, tools, and system software teams to optimize performance on current and next-generation GPUs.

Responsibilities

  • Research and develop techniques to GPU-accelerate leading applications in high performance computing, computational engineering, and data science.
  • Perform in-depth analysis and optimization to ensure best possible performance on current and next-generation GPU architectures.
  • Work directly with key application developers to understand problems and craft/optimize core parallel algorithms and data structures for GPUs through library development and direct contribution to applications.
  • Collaborate with architecture, research, libraries, tools, and system software teams to influence design of next-generation architectures, software platforms, and programming models, by evaluating impact on application performance and developer productivity.

Qualifications

  • Pursuing a MSc or preferably PhD in an engineering or computer science related discipline.
  • C/C++ and/or Fortran programming with strong software design, techniques, and algorithms knowledge.
  • Strong mathematical fundamentals including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
  • Strong communication and organizational skills, with a logical approach to problem solving, good time management, and task prioritization.

Skills

Required:C/C++Mathematics
Nice to have:FortranCUDA C/C++OpenACC

Benefits

  • Competitive salaries
  • Comprehensive benefits package
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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