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AI Computing Software Development Intern - 2027

NVIDIA· Intern
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Taipei, TaiwaninternPosted 3w ago

About the role

Internship focusing on AI computing software development with two tracks: TensorRT-LLM – Inference Optimization (Python / PyTorch) or TensorRT Compiler – Graph Optimization (C++).

Responsibilities

  • Build and enhance high‑performance LLM inference pipelines on key LLM models.
  • Analyze and optimize LLM model execution, scalability, and memory use.
  • Collaborate across framework and research teams to deliver efficient multi‑GPU model serving for Agentic AI workloads.
  • Work on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs.
  • Develop compiler optimization passes, refine operator fusion, and optimize memory usage.
  • Collaborate with CUDA and hardware architecture teams to accelerate Deep Learning inference computations.

Qualifications

  • Pursuing a B.S., M.S., Ph.D., or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related fields.
  • Excellent problem‑solving ability, curiosity for modern AI systems, and passion for GPU computing and deep learning software performance.
  • TensorRT‑LLM: Strong Python programming and experience with PyTorch; solid understanding of underlying LLM inference operations and GPU acceleration.
  • TensorRT Compiler: Proficient in C++, with experience in compiler or performance optimization.

Skills

Required:PythonPyTorchC++GPU computing
Last updated Oct 2, 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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