1 open role mentioning ML Accelerators
Applied Intuition
Applied Intuition is seeking a software engineer with deep expertise in optimizing ML models and deploying them within production-grade embedded runtime environments. This role involves working across the entire ML framework stack, including PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, and Triton. You will be instrumental in driving ML performance optimization for various technologies used in ADAS/AD stacks, targeting diverse embedded compute platforms. The position requires developing strategies to enhance the efficiency and reduce the latency of model inference on customer-selected compute boards, and supporting deployment on memory-constrained platforms through model pruning and quantization.
$217k - $318k