Senior Edge Computer Vision Engineer

About Us Zimark develops computer vision solutions for warehouses and logistics operators. Our products are deployed in real industrial environments and help customers automate pallet tracking, shipment verification, and warehouse operations. We're looking for a senior engineer to help build and optimise computer vision capabilities running on NVIDIA Jetson edge devices. The Role You'll be working directly on production computer vision systems deployed in warehouses worldwide. This is a hands-on engineering role focused on developing, optimising and deploying real-time computer vision algorithms on NVIDIA Jetson hardware using DeepStream and C++. You'll work closely with a small senior team and have significant influence over architecture and technical decisions. Responsibilities Develop new computer vision features and algorithms Extend and optimise NVIDIA DeepStream pipelines Write high-performance C++ code for Jetson platforms Improve real-time detection, tracking and event recognition capabilities Debug and profile performance bottlenecks on embedded hardware Work with camera integration, calibration and image geometry challenges Contribute to overall CV pipeline architecture and design Required Skills 4+ years of commercial Computer Vision experience Strong modern C++ (C++14/17 or newer) Experience deploying solutions on NVIDIA Jetson platforms Solid understanding of: Object Detection Multi-object Tracking Camera Calibration Image Geometry Experience working in Linux-based embedded environments Ability to work independently and communicate clearly in a remote team Highly Desired NVIDIA DeepStream GStreamer Real-time video processing Multi-camera systems Visual SLAM Visual Odometry PyTorch TensorRT CUDA Industrial automation or warehouse automation experience Nice to Have Python ArUco / AprilTag systems RealSense or stereo cameras Sensor fusion Project Details Remote worldwide (overlap with Israel/Europe time zones preferred) Long-term engagement Immediate start available Potential transition to full-time for exceptional candidates