Deep Learning Compiler Verification and Infra Development Intern - 2026
NVIDIA Corporation - Shanghai, China
Posted on 06 Nov, 2025
About Company
NVIDIA is a global leader in GPUs, AI computing, and accelerated computing solutions, powering innovations in gaming, ML, autonomous vehicles, and more.
About Role
The intern will work on deep learning compiler verification and infrastructure development, implementing functional and performance testing, benchmarking software solutions, and verification programs.
Key Responsibilities
- Work closely with deep learning compiler developers to verify new features and components.
- Implement and execute functional and performance testing and benchmarking.
- Develop verification programs, tools, scripts, and libraries.
- Apply deep learning techniques to implement compiler verification solutions.
Requirements
- Pursuing BS/MS/PhD in Computer Science, Computer/Electrical Engineering, Mathematics, or equivalent.
- Strong Python programming skills.
- Strong modern C++ programming skills.
- Good understanding of machine learning concepts, including LLMs.
Preferred Qualifications
- Knowledge of deep learning frameworks such as PyTorch, Scikit Learn, JAX/XLA, or TensorRT.
- Experience with CUDA, Docker, or GPU-accelerated cloud environments.
Employment Type
Full-time Internship
Department
Deep Learning Compiler
Posted On
2025-11-06
Updated On
2025-11-06
Job Overview
- Category: Private Jobs
- Experience: Internship (Pursuing BS/MS/PhD)
- Qualification: Pursuing BS/MS/PhD in Computer Science, Computer/Electrical Engineering, Mathematics, or equivalent
- Location: Shanghai, China
- Type: Permanent
- Apply By: Open Until Filled
Ready to Apply?
Apply NowFAQ – Deep Learning Compiler Verification and Infra Development Intern - 2026
Frequently asked questions about this job opportunity.
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Students currently pursuing a BS, MS, or PhD in Computer Science, Computer/Electrical Engineering, Mathematics, or an equivalent field.
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Strong skills in Python and modern C++.
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Verifying deep learning compiler features, implementing functional and performance tests, developing verification tools and scripts, and applying ML techniques for compiler verification.
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PyTorch, Scikit Learn, JAX/XLA, or TensorRT.
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It is a full-time internship.