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Principal AI Developer Technology Engineer

NVIDIA· Engineer, Tech SW
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Munich, Germany, Courbevoie, France, Zurich, SwitzerlandFull-timePosted 6mo ago

About the role

Research and develop techniques to GPU accelerate AI workloads, optimize complex AI/HPC algorithms on CPU/GPU architectures, publish findings, and influence next-generation hardware/software design.

Responsibilities

  • Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
  • Analyze and optimize complex AI and HPC algorithms for optimal AI solutions on modern CPU and GPU architectures in collaboration with industry and academia.
  • Publish and/or present optimization techniques in developer blogs or relevant conferences.
  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Qualifications

  • Advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
  • 15+ years of relevant experience in software development or research work.
  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.
  • Background in parallel programming (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.).
  • Hands-on experience with low-level performance optimizations.
  • In-depth expertise with CPU and GPU architecture fundamentals.
  • Effective communication and organization skills, with strong problem-solving, time management, and prioritization abilities.

Skills

Required:C/C++ programmingParallel programming
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

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

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