Expert Computer Vision Professional

2 days ago

Islamabad, Islamabad, Pakistan beBeeComputerVisionEngineer Full time 20,000,000 - 25,000,000
Job Overview

We are seeking a talented Computer Vision Engineer to join our team. As a key member of our infrastructure monitoring team, you will be responsible for designing and implementing algorithms for 3D point cloud processing, object recognition, and segmentation.

Your expertise in SLAM algorithms, deep learning frameworks like TensorFlow or PyTorch, and programming languages such as Python and C++ will be invaluable in enhancing our cutting-edge LiDAR technology.

You will work closely with cross-functional teams to integrate new features into our flagship product, SpatialSense, and collaborate with research and academic partners to adopt state-of-the-art vision techniques.

Key Responsibilities:

  • Design and implement efficient computer vision algorithms for real-time applications in mobile and static environments.
  • Develop and optimize SLAM algorithms for improved performance and accuracy.
  • Integrate AI technologies into our systems for better data analysis and visualization.
  • Collaborate with hardware engineers to leverage the latest NVIDIA platform capabilities.
  • Profile and benchmark performance on NVIDIA hardware to identify and resolve bottlenecks.

Qualifications:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field with a specialization in Computer Vision.
  • Strong background in 3D point cloud processing, SLAM, point cloud registration, and camera-LiDAR calibration.
  • Proficiency in applying deep learning to point cloud data.
  • Experience with parallel computing and GPU programming is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and a collaborative mindset.

We Offer:

  • Opportunity to work with cutting-edge technologies in a rapidly evolving field.
  • A collaborative and innovative environment.
  • Competitive salary and share options.
  • Significant professional growth and a chance to impact real-world infrastructure safety and efficiency.

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