Perception Engineer -Apprentice

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