Perception Engineer

2 weeks ago


Bengaluru, India 10x Full time

As a Perception Engineering Intern / Apprentice at 10xConstruction, you will help our autonomous drywall-finishing robots "see" the job-site. You'll design and deploy perception pipelines—camera + LiDAR fusion, deep-learning vision models, and point-cloud geometry—to give the robot the awareness it needs. Key Responsibilities * Build ROS 2 nodes for 3-D point-cloud ingestion, filtering, voxelisation and wall-plane extraction (PCL / Open3D). * Train and integrate CNN / Transformer models for surface-defect detection and semantic segmentation. * Implement RANSAC-based pose, plane and key-point estimation; refine with ICP or Kalman/EKF loops. * Fuse LiDAR, depth camera, IMU and wheel odometry data for robust SLAM and obstacle avoidance. * Optimise and benchmark models on Jetson-class edge devices with TensorRT / ONNX Runtime. * Collect, label and augment real & synthetic datasets; automate experiment tracking (Weights & Biases, MLflow). * Collaborate with manipulation, navigation and cloud teams to ship end-to-end, production-ready perception stacks. Qualifications & Skills * Solid grasp of linear algebra, probability and geometry; coursework or projects in CV or robotics perception. * Proficient in **Python 3.x and C++17/20**; comfortable with git and CI workflows. * Experience with **ROS 2 (rclcpp / rclpy)** and custom message / launch setups. * Familiarity with **deep-learning vision** (PyTorch or TensorFlow)—classification, detection or segmentation. * Hands-on work with **point-cloud processing** (PCL, Open3D); know when to apply voxel grids, KD-trees, RANSAC or ICP. * Bonus: exposure to camera–LiDAR calibration, or real-time optimisation libraries (Ceres, GTSAM). Why Join Us * Work side-by-side with founders and senior engineers to redefine robotics in construction. * Build tech that replaces dangerous, repetitive wall-finishing labor with intelligent autonomous systems. * Help shape not just a product, but an entire company—and see your code on real robots at active job-sites. Requirements Python 3.x C++17/20 ROS 2 PyTorch Open3D RANSAC


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