We are seeking a highly skilled Computer Vision Engineer to join our team and work on cutting-edge projects involving computer vision algorithms on edge devices. The ideal candidate will have experience in developing computer vision applications on edge devices such as embedded systems, IoT devices, mobile devices, and other low-power devices.

Key Responsibilities :

- Develop and implement computer vision algorithms for edge devices, including object detection, recognition, tracking, and segmentation.

- Optimize computer vision algorithms to run efficiently on edge devices with limited computational resources.

- Design and implement software architecture for computer vision systems on edge devices.

- Collaborate with hardware engineers to optimize performance and minimize power consumption.

- Test and evaluate computer vision algorithms on various edge devices to ensure functionality and performance.

- Stay up-to-date with the latest research and advancements in computer vision and machine learning.

Requirements :

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

- 3+ years of experience in developing computer vision applications on edge devices.

- Strong proficiency in computer vision libraries such as OpenCV, TensorFlow, and PyTorch.

- Experience with low-level programming languages such as C++ and CUDA.

- Familiarity with hardware design and optimization for edge devices.

- Ability to work in a team environment and communicate effectively with cross-functional teams.

- Prior experience of building and scaling video analytics/video intelligence platforms would be helpful.