Description
We are now looking for a TensorRT-LLM Software Development Engineering intern!
NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.
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 feature update TensorRT-LLM
- 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
Requirements
- Pursuing a 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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/AI-Computing-Development-Intern--TensorRT-LLM---2027_JR2026160