Lead Embedded AI Engineer

Your job: Develop and deploy AI models on embedded systems Optimize ML models for real-time performance and memory constraints and implement inference pipelines on microcontrollers and edge devices Integrate AI systems with industrial communication protocols and collaborate with AI researchers and automation engineers Benchmark and optimize model performance Your qualification: Degree in Computer Engineering, Electrical Engineering, or related field 6+ years experience in embedded software development with strong C/C++ programming experience Experience with embedded Linux or RTOS, machine learning deployment on edge devices is mandatory Experience with TensorFlow Lite, ONNX, or Edge AI frameworks, ARM architectures, GPUs, or accelerators is preferred Experience in robotics, industrial auto