As AI system Engineer you will have significant impact in our R D projects and specifically computer vision projects, as we ramp-up with new technologies and will lead work groups in our projects as part of the connected devices line of products.
The ideal candidate will have extensive experience in designing the wholistic system solution which includes component selection of video cameras, edge devices, defining communication protocols and designing the cloud backend integration for delivering the full solution and product.
Requirements:
Bachelor's degree or higher in Electrical Engineering, Computer Science, or related field
At least 5 years of professional experience in system engineering with a focus on electro-optics and Embedded (edge) AI systems
Strong knowledge of full system solutions for computer vision based products and edge devices with neural processing
Experience with setting up edge devices
Experience with Linux development and deployment
Strong written and verbal communication skills
Ability to understand IoT complex systems and quickly grasp new technical concepts with focus on challenges ahead.
Bachelor's degree or higher in Electrical Engineering, Computer Science, or related field
At least 5 years of professional experience in system engineering with a focus on electro-optics and Embedded (edge) AI systems
Strong knowledge of full system solutions for computer vision based products and edge devices with neural processing
Experience with setting up edge devices
Experience with Linux development and deployment
Strong written and verbal communication skills
Ability to understand IoT complex systems and quickly grasp new technical concepts with focus on challenges ahead.
Advantage:
Master's degree in Electrical Engineering, Computer Science, or related field
Experience in system engineering of IoT or similar projects
Coding capabilities ( C / C #/ JAVA / Python )
Experience with RF communication technologies (BLE, WiFi, LTE-M, LoRa, etc)
This position is open to all candidates.
