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Kodifly logo

Senior Computer Vision Engineer

Posted about 1 month ago

OfficePakistanSE

About Kodifly

Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the NVIDIA Inception program.

Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help cities and enterprises improve efficiency, quality assurance, and safety across the infrastructure lifecycle.

Job Description

We are looking for a Senior Computer Vision & Robotics Engineer with 4+ years of hands-on experience in 3D perception and spatial data processing. This role requires strong individual contribution, real project ownership, and the ability to work on production-facing systems.

You will be responsible for building, improving, and optimizing SLAM (Simultaneous Localization and Mapping), 3D vision, and spatial AI pipelines, while collaborating closely with teams in Pakistan and Hong Kong.

Key Responsibilities

  • Design and implement algorithms for 3D point cloud processing, object detection, and segmentation

  • Enhance and optimize SLAM pipelines for real-time mobile and static environments

  • Work on camera–LiDAR calibration and multi-sensor data alignment

  • Apply deep learning techniques to 2D, 3D, and spatial data

  • Integrate and optimize tools such as Open3D and 2D+3D inference models into existing systems

  • Optimize computer vision models and pipelines for NVIDIA GPUs

  • Perform profiling and performance optimization to improve latency and accuracy

  • Collaborate with cross-functional teams across Pakistan and Hong Kong to deliver product features

  • Participate in R&D to evaluate new computer vision and robotics techniques

  • Ensure robustness and reliability of computer vision systems in real-world conditions

  • Support and guide junior engineers through reviews and technical discussions

Qualifications

  • 4+ years of hands-on experience in computer vision or robotics

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field

  • Strong experience with 3D point clouds, SLAM, and sensor calibration

  • Hands-on experience applying deep learning to vision and spatial data

  • Proficiency in Python and C++

  • Experience with PyTorch or TensorFlow

  • Practical experience optimizing models for NVIDIA GPUs

  • Familiarity with CUDA, cuDNN, or TensorRT is a plus

  • Experience with OpenCV, Open3D, or PCL

  • Understanding of computer vision fundamentals (detection, segmentation, tracking)

  • Experience with ROS or robotics workflows

  • Strong problem-solving skills and ability to work independently

  • Good communication skills and a collaborative mindset

What We Offer

  • Work on cutting-edge 3D vision and spatial intelligence systems

  • Exposure to real-world infrastructure and robotics use cases

  • Collaborative and growth-focused engineering environment

  • Competitive salary and equity options

  • Fast-track growth opportunities for high performers

Join Us

If you have solid hands-on experience in computer vision and robotics, enjoy solving complex spatial problems, and want to build real-world AI systems, we’d love to hear from you.

🚀 Apply now and grow with Kodifly.

Job details
Workplace
Office
Location
Pakistan
Experience
SE

Kodifly is a deep tech AI company providing LiDAR and AI-powered solutions for railway and construction infrastructure inspection, monitoring, and management.

Employees
39
Industry
Software Development
Headquarters
Hong Kong
Founded
2021
Company location
Hong Kong, HK
Specialties
Infrastructure Monitoring, Train Perception, Transport Infrastructure, Digital Twin, LiDAR Perception, and Construction Monitoring

Key team members

Jason Yau

Jason Yau

Muhammad Saad Shahid Anwel

Muhammad Saad Shahid Anwel

Mojiz Javaid Dogar, FCCA

Mojiz Javaid Dogar, FCCA

Uzair Sajid

Uzair Sajid

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