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Senior Libraries Engineer – AI and HPC

NVIDIA· Engineer, Sys SW
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Zurich, Switzerland, Hybrid (Remote (Switzerland)), Remotefull-timePosted 7mo ago

About the role

Senior Libraries Engineer focusing on GPU/CPU accelerated data processing libraries (e.g., DALI, nvImageCodec) for AI, data analytics, image processing, computer vision, and scientific simulations. Role involves designing, developing, and optimizing algorithms, leading library projects, and driving performance across architectures.

Responsibilities

  • Developing scalable library software using modern tools and languages for various numerical methods.
  • Performance tuning, optimization, and benchmarking of algorithms on various architectures.
  • Working closely with leadership and partners to understand feature and performance requirements and contribute to technical roadmaps of libraries.
  • Providing technical leadership and guidance to library engineers.
  • Find opportunities to improve user experience and library performance.

Qualifications

  • PhD or MSc in Computational Science, Computer Science, Applied Math, or related field (or equivalent experience) preferred.
  • 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
  • C/C++ programming and software development skills.
  • Proven experience in leading and completing software development projects.
  • Strong collaboration, communication, and documentation habits.

Skills

Required:CUDAC/C++
Nice to have:PythonCI/CD
Last updated Oct 23, 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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