System Software Engineer - Deep Learning

What youll be doing: Develop solutions around NVIDIA GPU and Deep learning accelerators ( DLA )to accelerate inference ADAS Systems Develop SDKs / Frameworks to accerate LLMs and state of art models for NVIDIA Drive Platform Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of the models Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIAs automotive DNNs Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology Collaborate with engineering teams in our US, APAC, India and Europe locations What we need to see: BS or MS degree in Computer Science, Computer Engineering or Electrical Engineering 5+ Years of Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.) proven experience in optimizing DNN Layers for GPU or other DSPs Understanding of compilers infrastructure like LLVM and MLIR and assciated flow of optimization for DL accelerators Proficiency in C and C++ and Data Structures Strong OS fundamentals and knowledge of CPU/GPU architecture Familiar with state-of-the-art CNN/LSTM/Transformers architecture