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Computer Vision Engineer III

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Mujin

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Location:
United States , Suwanee

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

As a computer vision engineer, you will be a part of the Mujin R&D team, focusing on the algorithmic design, development, and deployment of computer vision applications for high-speed recognition. You will work directly with and expand on the world’s first 3D vision system for factory automation and logistics solutions.

Job Responsibility:

  • Solve cutting-edge scientific and technical challenges related to recognition and pose estimation of a very wide variety of objects in challenging scenarios
  • Analyze and evaluate state-of-the-art algorithms related to object detection and pose estimation
  • Design, develop and evaluate the performance of highly scalable and accurate real-time computer vision applications in C++ and Python
  • Perform detailed tests, carry out performance analysis on algorithms, and use continuous integration tools to finely enhance the rapidly deployed algorithms
  • Manage the integration and deployment of Mujin’s vision systems at customer sites, involving direct client interactions and rapid problem solving

Requirements:

  • Master's degree/Ph.D. or foreign equivalent in computer science, robotics, or related field
  • 4+ years of combined computer vision focused research/internship/work experience
  • Developing applications and tools in C++ and Python
  • Developing and implementing algorithms for 3D object detection and recognition in various environments
  • Performing camera calibration to ensure precise measurements in image processing and analysis
  • 3D and 6D pose estimation to determine the orientation and position of objects in space
  • 3D reconstruction to build detailed models from images and point cloud data
  • Processing and analyzing point cloud data to create 3D models of environments or objects

Additional Information:

Job Posted:
January 07, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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