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This role offers an exciting opportunity to work in an early-stage company at the forefront of robotics and industrial automation, applying cutting-edge AI and ML techniques to develop advanced vision control systems.
Job Responsibility:
Design and implement robust, efficient, and well-tested perception algorithms for real-world scenarios
Integrate classical and ML image processing algorithms for classification, depth sensing, and 3D reconstruction
Select optimal sensors (e.g., LIDARs, time-of-flight cameras, stereo vision) for various applications
Create AI and ML models to enhance object detection, classification, and tracking capabilities
Utilize deep learning techniques to improve system accuracy and efficiency
Conduct extensive testing, validation, and calibration to ensure system accuracy and reliability
Collaborate with cross-functional teams, including mechanical, system, mechatronic, software and software quality assurance engineers, and domain experts
Requirements:
Master’s or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field
Demonstrated experience designing, implementing, testing, and optimizing vision solutions for robotic or automation applications
Experience working with pixels, low-level statistical features and filter responses, and higher-level representations (feature descriptors, embeddings)
Strong programming skills (10+ years of professional experience with Python, Rust, C++ or a similar language)
Experience implementing algorithms (statistical, ML, DL) for applications such as object detection, tracking, classification, scene segmentation, or SLAM
Proficiency in AI/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA)
Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time-of-flight) and sensor fusion
Excellent problem-solving skills, attention to detail, and ability to work in a dynamic environment
Applicants must be authorized to work in the United States legally
Nice to have:
Experience with deploying vision systems in real-world robotic solutions
Knowledge of robotic control systems, automation protocols, and communication interfaces
Familiarity with robotic simulation platforms (Issac Sim, Gazebo) to develop robotic systems