Allen Control Systems is seeking a Senior Embedded Machine Learning Engineer to bring trained ML models to edge devices, balancing latency, memory, and power budgets while integrating C++ code for on-device inference. You will collaborate with CVML, firmware, and product teams to ensure fast, small, and reliable performance in the field, influencing the hardware and software stack.
This role requires deep expertise in ML for embedded hardware, real-time constraints, and hands-on tuning for edge
#J-18808-Ljbffr