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    Vision Engineer – Robotics & Autonomous Systems

      Attach a CV (Accepted file types: pdf, doc, docx, rtf.)

      Vision Engineer – Robotics & Autonomous Systems

      Permanent / Full Time

      Location: Abu Dhabi, UAE
      Position: Full-Time | On-Site
      Package: 90,000 – 100,000 euros (100% Tax-Free) + Full Relocation Package

      Why Abu Dhabi?

      Step into one of the world’s safest, most dynamic and rapidly growing tech hubs. Abu Dhabi offers an unbeatable quality of life blending year-round sunshine, vibrant coastal living, world-class infrastructure and a thriving international community. Plus, with a 100% tax-free salary, your earnings stay in your pocket.

      To ensure a seamless move, this role comes with a comprehensive relocation package including:

      • Full corporate relocation package for you and your family
      • Covered flights and 1 month of luxury hotel accommodation upon arrival
      • Dedicated school search assistance for family support + school fees covered
      • Premium private health insurance and global benefits

      About the Role

      We are seeking a high-caliber Vision Engineer with strong expertise in classical and deep learning-based computer vision to build and deploy real-world perception pipelines.

      In this role, you will design, optimize and integrate vision algorithms for robotics, autonomous platforms, UAVs and edge environments. You will bridge AI research and real-time execution – translating complex perception models into robust, production-ready systems on physical hardware.

      Key Responsibilities

      • Algorithm Development: Design, implement, and optimize vision algorithms for object detection, tracking, classification, position estimation and 3D perception.
      • Robotics Integration: Develop perception pipelines for UAVs, autonomous agents, and robotic platforms, integrating them directly into robotics middleware (ROS2) and autonomy stacks.
      • Edge Optimization & Deployment: Optimize vision models for low-latency inference on GPUs, embedded platforms and edge hardware using TensorRT, ONNX Runtime, CUDA, and OpenCV.
      • Data & Benchmarking: Build synthetic data pipelines, manage dataset augmentation workflows, analyze model performance and solve complex edge-case failure modes.
      • Research & Innovation: Stay ahead of state-of-the-art developments in vision transformers, multimodal AI, embodied AI and sim-to-real transfer to keep our perception stack cutting-edge.

      What We Are Looking For

      • Education: Master’s degree in Computer Science, Robotics, AI/ML, Computer Vision, or a related field.
      • Experience: Practical experience (via industry roles, research, or complex projects) developing or deploying computer vision systems for robotics, UAVs or autonomous agents.
      • Core Tech Stack:
        • Languages: Production-level C++ (for real-time pipelines and hardware integration) and Python (for rapid prototyping and model training).
        • Frameworks & Libraries: PyTorch, TensorFlow, OpenCV, CUDA, and ROS2.
        • Inference & Acceleration: TensorRT, ONNX Runtime, OpenVINO, or DeepStream.
      • Infrastructure: Working knowledge of Docker, Linux development environments, GPU optimization, and edge platforms like NVIDIA Jetson.

      Bonus Points

      • Experience with multi-sensor fusion (camera, LiDAR, radar, IMU/GPS).
      • Experience with synthetic data generation or simulation environments.
      • Open-source contributions or research publications in CV/Robotics/AI conferences.

      Posted by

      Layla Link

      Technical Sourcer

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