3D Vision perception Engineer

Job Description

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• Lead the architecture and development of sophisticated 3D machine vision systems for industrial robots, delivering high levels of accuracy, reliability, and performance.
  
• Work closely with multidisciplinary teams—robotics, software, and systems engineers—to tightly integrate 3D vision technology into robotic platforms.
  
• Oversee and refine the integration of 3D sensors with robotic systems to maximize overall system precision and operational throughput.
  
• Create, enhance, and maintain algorithms for data acquisition, image processing, point cloud handling, and object recognition to ensure robust visual perception capabilities.
  
• Identify, analyze, and resolve complex technical problems in machine vision systems to guarantee stable, reliable operation in harsh industrial environments
  

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering
  
• Proven experience designing and developing 3D machine vision systems (ideally for industrial automation or robotics)
  
• Strong programming skills in Python, C#, and C++ with relevant libraries and tools; solid grasp of software architecture and object-oriented programming; strong knowledge of 3D sensing technologies (e.g., MVTec Halcon, point cloud/mesh processing)
  
• Practical experience with image segmentation, including deep-learning methods such as SAM (Segment Anything Model) for industrial vision; and strong analytical, problem-solving, and collaborative skills in multidisciplinary teams.
  

Benefits

Requirements
Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering Proven experience designing and developing 3D machine vision systems (ideally for industrial automation or robotics) Strong programming skills in Python, C#, and C++ with relevant libraries and tools; solid grasp of software architecture and object-oriented programming; strong knowledge of 3D sensing technologies (e.g., MVTec Halcon, point cloud/mesh processing) Practical experience with image segmentation, including deep-learning methods such as SAM (Segment Anything Model) for industrial vision; and strong analytical, problem-solving, and collaborative skills in multidisciplinary teams.