V
Embedded AI Engineer
Virtual Vocations Inc
2 hours ago
Full-time
On-site
East New York, New York, United States
To support the advancement of intelligent edge computing, the full-time Embedded AI Engineer will lead the development and deployment of deep learning models on IoT platforms, focusing on optimizing computer vision models for execution on high-efficiency hardware accelerators in a hybrid work environment.
Key Responsibilities
Develop and optimize embedded software and AI model inference pipelines for real-time object detection, tracking, and classification at the edge Deploy and maintain vision-based deep learning models on resource-constrained devices using AI accelerators Collaborate with AI/ML researchers to integrate trained models into embedded applications and validate edge inference accuracy
Required Qualifications
Proficient in C/C++ and Python for embedded development and AI integration Hands-on experience with at least one AI hardware platform such as Hailo or NVIDIA Jetson Solid understanding of deep learning architectures and model behavior, including CNNs and YOLO Experience working with Linux-based embedded systems and build systems like Yocto Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, AI, or a related technical field
Develop and optimize embedded software and AI model inference pipelines for real-time object detection, tracking, and classification at the edge Deploy and maintain vision-based deep learning models on resource-constrained devices using AI accelerators Collaborate with AI/ML researchers to integrate trained models into embedded applications and validate edge inference accuracy
Required Qualifications
Proficient in C/C++ and Python for embedded development and AI integration Hands-on experience with at least one AI hardware platform such as Hailo or NVIDIA Jetson Solid understanding of deep learning architectures and model behavior, including CNNs and YOLO Experience working with Linux-based embedded systems and build systems like Yocto Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, AI, or a related technical field