Perception Software Engineer - (Remote - US)

3+ years of experience in machine learning, ideally in autonomous driving or automotive perception systems Proficiency in Python and/or modern C++, with deep familiarity in PyTorch Experience working with deep learning architectures, including transformer-based models Strong understanding of perception systems, computer vision, and real-time inference

Design and implement real-time, onboard, multimodal perception models with a focus on robustness and efficiency Fine-tune deep learning models to maximize performance on embedded hardware (Jetson), including applying quantization, pruning, and architecture search Develop custom CUDA kernels and TensorRT plugins for optimized pre/post-processing Lead R&D efforts in multiview sensor fusion and scene understanding with emphasis on anomaly detection Manage and experiment with complex datasets across modalities (camera, lidar, radar) from multi-agent autonomous systems Document and present findings internally and externally, contributing to team knowledge and potential publications