Deep Learning Software Engineering Intern, Test Development - 2027

We are seeking a Deep Learning Software Test Development Engineering Intern to join our NVIDIA Deep Learning Software Quality Assurance team. As an intern, you will help define, develop, and perform tests to validate the robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for various AI scenarios.

Responsibilities:

• GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, and NVIDIA optimized Frameworks (e.g., TensorFlow, PyTorch, MxNET)
• Functionality, compatibility, and performance tests in DL SW stack release
• Collaborate with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans
• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, and bug fixing

Requirements:

• Pursuing MS or higher degree in CS/EE/CE
• Scripting language (Python, Perl, bash), Linux knowledge required
• Experiences in C/C++ programming is a plus
• Familiarity with any Deep Learning Framework is a strong plus
• Good communication skills, fluent oral and written English
• Experience with AI tools

Nice to have:

• Familiarity working with NVIDIA GPU hardware
• Background with NVIDIA GPU Computing (CUDA)
• Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows, or enhance process automation