Deep Learning Software Engineering Intern, Test Development - 2027
Core
Develop and execute tests to validate robustness and measure performance of NVIDIA's Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, and AI scenarios.
Role type
Deep Learning Software Quality Assurance Intern
Builds
Test plans, automated test scripts, and validation reports for cuDNN, TensorRT, and DL Mobile frameworks
Domain
Artificial Intelligence / Deep Learning / GPU Computing
Deliverable
production ML models
Required skills
Python scripting, Linux, C/C++ programming, Deep Learning frameworks, AI-powered tools
Preferred skills
NVIDIA GPU hardware familiarity, CUDA background, AI workflow automation
Technologies
cuDNN, TensorRT, TensorFlow, PyTorch, MxNET, Linux, Python, C/C++, CUDA
Responsibilities
GPU software testing and test automation improvement, functionality/compatibility/performance testing in DL SW stack release, triaging issues and root cause analysis, defining new tests and improving test plans
Seniority
Intern
