{"@context":"https://schema.org/","@type":"JobPosting","title":"Computer Vision Engineer

• Own camera-based perception pipelines from sensor selection to production deployment
• Evaluate and select camera sensors, modules, and optics based on system and application requirements
• Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization)
• Develop and integrate computer vision and ML-based algorithms into the perception stack
• Work with perception and software teams to integrate cameras with other sensors (LiDAR, IMU, radar, etc.)
• Design and deploy real-time vision systems on embedded and edge compute platforms
• Implement and optimize models for tasks such as object detection, tracking, and segmentation; depth estimation from cameras (mono, stereo, multi-view); optical flow and motion estimation

• Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field
• 7+ years of experience in camera, computer vision, or perception engineering
• Strong experience with camera sensors, optics, and ISP tuning
• Deep understanding of computer vision and ML fundamentals
• Hands-on experience developing and deploying ML-based vision models
• Strong software engineering skills in C++ and/or Python

Desirables:

• Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)
• Familiarity with modern vision and ML frameworks (PyTorch, TensorFlow, ONNX, OpenCV, etc.)
• Experience with embedded or edge AI deployment (NVIDIA Jetson, CUDA, TensorRT, etc.)
• Background in depth estimation, stereo vision, SLAM, or visual-inertial systems