Job Description
Experience Level: 6+ years
nEducational Qualification
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- B.E./B.Tech in Computer Science or Electronics & Communication Engineering (ECE)n
- M.Tech in Computer Vision, AI, or related fields is preferredn
nJob Summary
nWe 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.
nKey Responsibilities
nTechnical Leadership
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- Lead computer vision teams for autonomous drone perception and navigation systemsn
- Architect scalable vision pipelines for real-time aerial applicationsn
- Mentor engineers and drive technical excellence in vision-based autonomyn
nComputer Vision & Deep Learning
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- Develop object detection systems using YOLO (v7/v8/v11), RetinaNet, EfficientDet, Detectron2n
- Implement small object detection optimized for aerial imageryn
- Build multi-object tracking (SORT, DeepSORT,
ByteTrack) for agile environmentsn
- Deploy transformer-based models (DETR, Swin Transformer) for advanced perceptionn
- Create semantic segmentation for terrain classification and scene understandingn
n3D Vision & Spatial Mapping
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- Implement Visual SLAM (ORB-SLAM3, RTAB-Map) for localization and mappingn
- Design depth estimation using stereo vision and monocular depth networks (MonoDepth, MiDaS)n
- Build 3D reconstruction pipelines from aerial imageryn
- Develop point cloud processing using PCL and Open3Dn
nVisual Navigation
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- Develop Visual-Inertial Odometry (VIO) systems for GPS-denied navigationn
- Implement optical flow for velocity estimation and obstacle avoidancen
- Design feature detection and matching (SIFT, ORB, SuperPoint)n
- Build visual servoing for precision landing and target trackingn
nEdge AI & GPU Optimization
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- Optimize models for r
📌 Computer Vision Engineer I (Tamil Nadu)
🏢 Big Bang Boom Solutions Private
📍 Tamil Nadu
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