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, 3D 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), RetinaNet, EfficientDet, Detectron2
Implement small object detection optimized for aerial imagery
Build multi-object tracking (SORT, DeepSORT, ByteTrack)



for energetic environments
Deploy transformer-based models (DETR, Swin Transformer) for advanced perception
Create semantic segmentation for terrain classification and scene understanding
3D Vision & Spatial Mapping
Implement Visual SLAM (ORB-SLAM3, RTAB-Map) for localization and mapping
Design depth estimation using stereo vision and monocular depth networks (MonoDepth, MiDaS)
Build 3D reconstruction pipelines from aerial imagery
Develop point cloud processing using PCL and Open3D
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, SuperPoint)
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