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 automation, or IoT and familiarity with signal processing or control systems is an advantage