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Perception Engineer
2 weeks ago
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