Experience Level: 6+ years
Educational Qualification
B. E./B. Tech in Computer Science or Electronics & Communication Engineering (ECE) M. Tech in Computer Vision, AI, or related fields is preferred Job Summary
We are seeking an experienced engineer with expertise in computer vision to lead the development of spatial mapping, 3 D perception, and visual navigation systems for autonomous drones. The ideal candidate will combine deep knowledge in vision algorithms, deep learning, and real-time edge deployment.
Key Responsibilities
Technical Leadership
Lead computer vision teams for autonomous drone perception and navigation systems Architect scalable vision pipelines for real-time aerial applications Mentor engineers and drive technical excellence in vision-based autonomy Computer Vision & Deep Learning
Develop object detection systems using YOLO (v7/v8/v11), Retina Net, Efficient Det, Detectron2 Implement small object detection optimized for aerial imagery Build multi-object tracking (SORT, Deep SORT, Byte Track)



for agile environments Deploy transformer-based models (DETR, Swin Transformer) for advanced perception Create semantic segmentation for terrain classification and scene understanding 3 D Vision & Spatial Mapping
Implement Visual SLAM (ORB-SLAM3, RTAB-Map) for localization and mapping Design depth estimation using stereo vision and monocular depth networks (Mono Depth, Mi Da S) Build 3 D reconstruction pipelines from aerial imagery Develop point cloud processing using PCL and Open3 D Visual Navigation
Develop Visual-Inertial Odometry (VIO) systems for GPS-denied navigation Implement optical flow for velocity estimation and obstacle avoidance Design feature detection and matching (SIFT, ORB, Super Point) Build visual servoing for precision landing and target tracking Edge AI & GPU Optimization
Optimize models for real-time inference (

📌 Computer vision engineer i (Chennai)
🏢 Big Bang Boom Solutions Private
📍 Chennai