Computer Vision & Robotics Engineer

চাকরির বিবরণ

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. 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. Office hours 08:00 – 17:00 BST, Monday to Friday; on-site in Rajshahi, Bangladesh. Applications are reviewed on a rolling basis. To apply, email careers@worksprout.us with the subject "Computer Vision & Robotics Engineer".

দায়িত্ব

• 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

যোগ্যতা

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

সুবিধা

• 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