OverviewWe are looking for an Embedded AI/Edge AI Engineer to join our client's team in Silicon Valley. You will work on building intelligent devices that run AI at the edge, embedding ML into robotics, drones, and smart cameras.ResponsibilitiesOptimize ML models with TensorFlow Lite, PyTorch Mobile, ONNX.Implement real-time inference for computer vision (OpenCV, YOLO).Deploy on embedded AI platforms (NVIDIA Jetson, Qualcomm Snapdragon DSPs, ARM Ethos-N).Develop software pipelines for low-latency edge AI systems.Work with hardware accelerators for AI workloads.Experience required4+ years in embedded software with ML/AI integration.Strong background in C++, Python, and CUDA/OpenCL.Experience deploying ML models on embedded hardware.Understanding of edge power and thermal constraints.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionSoftware DevelopmentIndustriesSoftware DevelopmentSemiconductor Manufacturing
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