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AI Computing Software Development Intern, LLM Inference - 2027

NVIDIA· Intern
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Shanghai, BeijinginternPosted 4w ago

About the role

Internship role focused on developing and optimizing GPU-accelerated AI/LLM inference software (TensorRT LLM/Edge LLM), with opportunities to influence architecture, engage with multiple teams, and publish results.

Responsibilities

  • Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
  • Performance analysis, optimization and tuning
  • Closely follow academic developments in the field of artificial intelligence and large language models
  • Provide feedback into the architecture and hardware design and development
  • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams
  • Publish key results in scientific conferences

Qualifications

  • Pursuing Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree
  • Relevant software development experience
  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design
  • Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models
  • Experience working with deep learning frameworks like TensorFlow and PyTorch
  • Proactive and able to work without supervision
  • Excellent written and oral communication skills in English

Skills

Required:C/C++ programmingSoftware designPerformance analysisDeep learning frameworksEnglish communication
Last updated Sep 25, 2026. Interested? Apply on the company site.

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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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