Computer Vision Engineer

Computer Vision EngineerLocation: Arlington, VA (Hybrid)Company OverviewOur client is an innovative robotics company backed by a Fortune 500 organization, developing advanced autonomous systems that are transforming how large-scale infrastructure projects are completed. By combining robotics, computer vision, artificial intelligence, and automation, they are bringing cutting-edge technology into real-world industrial environments to improve safety, efficiency, and productivityRole DescriptionDesign, develop, and deploy advanced computer vision and AI algorithms that enable autonomous robotic systems to perceive and interact with complex real-world environmentsBuild high-performance perception pipelines utilizing data from cameras, LiDAR, and other sensors for applications such as object detection, segmentation, localization, pose estimation, and navigationDevelop, train, optimize, and deploy machine learning and deep learning models for production robotic systems operating in the fieldCollaborate closely with Robotics, Software, and Hardware Engineering teams to integrate perception algorithms into autonomous robotic platformsImprove the end-to-end AI development lifecycle by enhancing data pipelines, model training workflows, CI/CD processes, validation frameworks, and production monitoringPerform sensor integration, calibration, and testing across multiple perception technologies including cameras, LiDAR, depth sensors, and IMUConduct field testing, troubleshoot perception and autonomy challenges, analyze system performance, and implement continuous improvements based on real-world deploymentOptimize AI models for performance, latency, reliability, and deployment on embedded or edge computing platformsHelp define the long-term perception architecture, sensor strategy, and technical roadmap for next-generation autonomous robotic systemsStay current with emerging technologies in robotics, computer vision, machine learning, and Physical AI, introducing innovative approaches that improve system capabilities and performanceQualificationsBachelor's, Master's, or Ph.D. in Computer Science, Robotics, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical disciplineProven industry experience developing production-grade computer vision and AI solutions using Python and/or C++ for deployed robotic or autonomous systemsHands-on experience with robotic software frameworks such as ROS or ROS 2, along with perception pipelines utilizing cameras, LiDAR, depth sensors, IMUs, or similar technologieses.Strong expertise in computer vision, deep learning, and machine learning frameworks (e.g., PyTorch, TensorFlow, OpenCV), including model training, optimization, and deployment