Job Description
Computer Vision – AI DeveloperAtlanta, Georgia (Onsite)
Full-time
5+ years
Job Summary
We are seeking a Senior Computer Vision Engineer to develop Vision AI solutions for warehouse automation systems. The successful candidate will design, develop, and deploy computer vision algorithms supporting inventory monitoring, obstacle detection, robot monitoring, safety analytics, and operational optimization.
Key Responsibilities
Develop computer vision and AI-based solutions for automated storage and retrieval system (ASRS) warehouse environments.
Design and implement object detection, tracking, segmentation, and anomaly detection models.
Support camera selection, calibration, and vision system setup.
Develop real-time video analytics solutions for warehouse operations.
Integrate vision solutions with robotics, edge devices, and cloud platforms.
Optimize AI models for deployment on edge and GPU platforms.
Collaborate with product, robotics, and software engineering teams.
Support solution architecture, proof-of-concepts (PoCs), customer demonstrations, and deployments.
Required Technical Skills
Strong programming skills in Python and/or C++.
Hands-on experience with OpenCV.
Experience with PyTorch or TensorFlow.
Knowledge of object detection, tracking, segmentation, and OCR.
Experience with YOLO or similar deep learning frameworks.
Understanding of camera systems, image processing, and video analytics.
Experience deploying solutions in Linux-based environments.
AI/ML development experience, including implementation of AI vision solutions using cloud-based architecture.
Preferred Skills
Experience in robotics, ASRS, AMR, or AGV systems.
Knowledge of HALCON, Cognex, or other industrial vision systems.
Computer Vision – AI Developer
Experience with Edge AI, NVIDIA Jetson, Docker, and GPU optimization.
Experience with camera/vision system selection, configuration, and setup.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Electronics, Robotics, Artificial Intelligence, or a related field.
5+ years of hands-on experience in Computer Vision and AI solution development.
External Skills and Expertise
AI/ML development.
Cloud-based architecture and AI Vision solution implementation.
Camera/vision system selection and configuration (good to have).