NVIDIAPosted 1d ago

AI Computing Development Intern, TensorRT-LLM - 2027

AI Computing Development Intern, TensorRT-LLM - 2027 at NVIDIA scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

China, ShanghaiinternFull time

AI in this role

Software Development Engineering intern focusing on TensorRT-LLM and deep learning inferencing software optimization.

chatgptpytorchtensorflowtensorrt-llmc

deep-learningllminferencingperformance-optimizationsoftware-engineering

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.

What you'll be doing:

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

What we need to see:

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

NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Deep LearningLlmInferencingPerformance OptimizationSoftware EngineeringChatGPTPyTorchTensorFlow

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where inferencing was part of your work. What did you do?
Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Deep Learning, Llm, Inferencing, Performance Optimization, and Software Engineering. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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