Cadence is a pivotal leader in electronics and system design, building upon more than 30 years of computational software expertise. The AI Compiler Internship focuses on enhancing a deep learning compiler stack and benchmarking network performance on various platforms.
Responsibilities
Enhance a deep learning compiler stack that takes neural network descriptions (NNs) created in frameworks such as Caffe, PyTorch, TensorFlow, etc. and converts them into code suitable for execution on special-purpose and embedded platforms
Benchmark end-to-end network performance on a variety of DSP and special-purpose accelerator platforms
Develop complex programs to validate the functionality and performance of the NN application programming kit
Qualification
Required
Currently enrolled in BS or MS with major in CS, CE, ECE, or equivalent.
Experience with LLMs, Pytorch, Tensorflow, ONNX, TVM, MLIR or LLVM
Preferred
Benefits
Cadence is a pivotal leader in electronics and system design, building upon more than 30 years of computational software expertise.
