Deep Learning Computer Vision Specialist

1 day ago

Islamabad, Islamabad, Pakistan Kodifly Full time

About Kodifly's Mission:

Kodifly aims to transform infrastructure monitoring through innovative spatial intelligence. With a focus on 3D point cloud processing, digital twin creation, and LiDAR technology, we strive to provide real-time insights enhancing infrastructure safety, efficiency, and sustainability.

Job Position:

We are seeking a highly skilled 3D Computer Vision Engineer to join our team in Islamabad, Pakistan. This position requires expertise in point cloud data processing, SLAM, point cloud registration, camera-LiDAR calibration, and deep learning techniques to empower smart cities.

Key Responsibilities:

  • Algorithm Development: Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.
  • SLAM Algorithm Optimization: Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.
  • System Integration: Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D & 3D data analysis and visualization.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.
  • R&D: Conduct R&D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.
  • System Robustness: Ensure the robustness and accuracy of our computer vision applications under various operational conditions
  • Model Development: Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.
  • Hardware Optimization: Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
  • Collaboration: Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.
  • Performance Analysis: Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.
  • End-to-End Integration: Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.
  • Research Collaboration: Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.

Requirements:

  • 3+ years of experience
  • Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.
  • Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
  • Proficiency in applying deep learning methods to point cloud data.
  • Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
  • Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
  • In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
  • Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.
  • Knowledge of parallel computing principles and GPU programming techniques is a plus.
  • Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.
  • Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.
  • Experience with ROS software and methodologies.
  • Proficient in programming languages such as C++, Python, or similar.
  • Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.
  • Excellent analytical, problem-solving, and communication skills.
  • Team-oriented with an ability to work in a collaborative environment.

What We Offer:

  • Opportunity to work with cutting-edge technology in a rapidly evolving field.
  • A collaborative environment where innovation is encouraged and rewarded.
  • Competitive salary and share options.
  • Professional and personal growth opportunities and a chance to make a significant impact in infrastructure safety and efficiency.

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