Senior Computer Vision Engineer

1 month ago


Bengaluru, Karnataka, India Domnic Lewis International Full time

We are seeking a highly skilled Senior Computer Vision Engineer to join our innovative team at Domnic Lewis International in Bangalore. The ideal candidate will have a strong background in computer vision, deep learning, and high-speed laser profiling systems, with expertise in 3D object reconstruction, sensor fusion, and calibration.

Key Responsibilities:

  • Develop next-generation machine vision systems with Python/C++.
  • Design and implement advanced computer vision algorithms for high-speed outdoor laser-based measurement systems.
  • Create robust solutions for sensor fusion, combining data from laser systems with cameras.
  • Develop and optimize 3D reconstruction techniques for objects using laser profiling data.
  • Implement and improve algorithms for real-time processing of laser measurement data.
  • Develop and implement computer vision algorithms, both traditional image processing and deep learning, for accurate measurement and detection of objects using laser and camera-based systems.
  • Optimize algorithms for real-time performance and high-speed processing.
  • Collaborate with cross-functional teams to integrate computer vision solutions into our products.
  • Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
  • Provide technical guidance and mentorship to junior team members.

Requirements:

  • Bachelor's, Master's, or Ph.D. degree in Computer Science or related field.
  • 5+ years of experience in developing 2D and 3D perception capabilities, with a focus on laser-based measurement systems.
  • Proficiency in MATLAB and strong skills in Python and/or C++ programming languages.
  • Experience with 3D vision libraries and tools (e.g., Point Cloud Library, Open3D).
  • Expertise in processing and analyzing data from high-speed laser profiling systems.
  • Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
  • Experience with deep learning techniques applied to 3D point cloud data.
  • Solid understanding of laser measurement principles, including triangulation and time-of-flight techniques.
  • Familiarity with challenges specific to outdoor, high-speed measurement scenarios (e.g., varying lighting conditions, motion compensation).
  • Strong mathematical background, particularly in 3D geometry, signal processing, and optimization.
  • Knowledge of calibration techniques for laser-based measurement systems.
  • Experience with multi-sensor fusion involving laser profilers and other sensor types.
  • Strong understanding of traditional image processing techniques and algorithms.
  • Experience with laser and camera-based measurement systems is a plus.
  • Excellent problem-solving skills and ability to work independently as well as in a team environment.
  • Strong communication skills with the ability to articulate technical concepts effectively.

Personal Attributes:

  • Strong oral and written communication skills.
  • Strong interpersonal and influencing skills.
  • Effective team building and problem-solving abilities.
  • Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.


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