Computer Vision & Robotics Engineer

WorkSprout is a deep-tech engineering and design partner across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering & Collection, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We deliver systems that work in production, not just in demos.

You will build computer vision pipelines that power robotic perception — from object detection and tracking to depth estimation and scene understanding. Your models will run on real hardware in dynamic, unstructured environments including industrial and outdoor deployments.

• Build YOLO-based and transformer-based object detection and tracking systems
• Develop depth estimation and 3D scene reconstruction pipelines
• Integrate vision systems with ROS 2 perception stacks and sensor drivers
• Collect and annotate real-world image and video datasets for training
• Optimise vision models for embedded GPU inference on Jetson hardware
• Validate vision pipeline performance on real robot deployments in the field

• Strong Python with PyTorch or TensorFlow
• Experience with YOLO, EfficientDet, or transformer-based detection models
• Proficiency in OpenCV and classical image processing techniques
• Knowledge of camera calibration, stereo vision, and depth sensors
• Experience with ROS 2 perception nodes and sensor topic handling

• Experience with TensorRT or ONNX for hardware-accelerated inference
• Familiarity with SLAM pipelines (ORB-SLAM3, RTAB-Map)
• Knowledge of 3D point cloud processing (PCL, Open3D)

• Work with real robotic hardware on real-world perception challenges
• Competitive salary benchmarked to international rates
• Access to robot lab with cameras, LiDARs, and depth sensors
• Dedicated research time for vision algorithm development
• Open-source contribution and conference publication support

* Benefits marked with an asterisk apply to permanent employees only.

If your experience matches the requirements and you are ready to work on production engineering and design challenges, submit your application using the button below. We review every submission personally — no automated screening, no ghosting.