AI芯片软件测试开发工程师-AI软件测试方向
Core
Design and execute testing strategies for AI chip software stacks including operator libraries, graph compilers, runtimes, and inference frameworks.
Role type
Senior IC AI chip software testing engineer
Builds
Automated testing frameworks and toolchains for operator accuracy, model inference correctness, and performance/stability evaluation
Domain
Semiconductor / AI Infrastructure
Deliverable
production ML models
Required skills
Python, C++, automated testing framework design, deep learning frameworks (PyTorch/TensorFlow), GPU/CUDA software stack knowledge, root cause analysis, cross-stack debugging
Preferred skills
Experience with NVIDIA or other top-tier chip/GPU company software stacks
Technologies
PyTorch, TensorFlow, CUDA, cuDNN, CUTLASS
Responsibilities
Develop test strategies and cases for chip software stacks; Build testing systems incorporating industry-standard methodologies; Analyze defects and drive cross-stack root cause resolution; Optimize testing processes and tools to improve team efficiency
