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