AI Computing Software Development Intern, LLM Inference

NVIDIA

. Craft and develop robust inferencing software scalable across multiple platforms for functionality and performance .

Posted 9/23/2026full-timeShanghai • ChinaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C/C++ programming and software design, with a strong focus on performance analysis and optimization in the context of artificial intelligence and deep learning. Capable of collaborating effectively across teams and publishing research findings in scientific forums.

Highest-signal resume keywords

C/C++ ProgrammingPerformance AnalysisDeep Learning FrameworksArtificial Intelligence AwarenessSoftware Development Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DesignDebuggingTest DesignPerformance OptimizationMachine Learning Inferencing

Soft Skills

Proactive Work EthicExcellent Communication Skills

Tools & Technologies

TensorFlowPyTorch

Industry Keywords

Artificial IntelligenceLarge Language ModelsGenerative ModelsRecommender Models

Tech Stack

Tools & technologies

PyTorchTensorflowC++

About the role

Key responsibilities & impact

Craft and develop robust inferencing software scalable across multiple platforms for functionality and performance
Conduct performance analysis, optimization, and tuning
Follow academic developments in artificial intelligence and large language models
Provide feedback on architecture, hardware design, and development
Collaborate across software, research, and product teams to guide machine learning inferencing direction
Publish key results in scientific conferences

Requirements

What you’ll need

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 and awareness of the latest developments in deep learning, including 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

Benefits

Comp & perks

Exposure to the entire deep learning software stack
Opportunity to contribute to the GPU-accelerated deep learning platform used worldwide
Opportunity to publish key results in scientific conferences