Computer Vision Leader – Pioneering the future of Industrial Automation

Job Overview:

Are you passionate about creating revolutionary AI-driven products from inception to market? Our client, an ambitious and rapidly growing industrial automation startup, is searching for a Principal/Chief Perception Engineer with in-depth knowledge of object identification, depth estimation, and structure reconstruction.

Key Responsibilities

• 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.
• Collaborate effectively within the team and communicate clearly, both verbally and in writing.

Academic Foundation and Technical Expertise You Bring:

• Master’s or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field.

• Hands-on and strategic 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)
• 8+ 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.