Perception Engineer

As a Perception Engineer at 10xConstruction.ai, 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

• Develop and deploy 3D perception components for geometric scene understanding using depth sensors, LiDAR, and RGB cameras.
• Build ROS 2 nodes that process and interpret spatial data (point clouds, depth maps, image streams) for environment modeling and task planning.
• Train and integrate deep-learning models for 3D semantic understanding, including surface analysis and object segmentation.
• Design robust sensor fusion strategies that combine visual, inertial, and spatial data for scene reconstruction and robot localization.
• Benchmark and optimize perception models for deployment on edge compute platforms (e.g., NVIDIA Jetson) using tools like TensorRT or ONNX.
• Collect and curate high-quality datasets (real and synthetic); automate training pipelines and experiment tracking.
• Collaborate across robotics teams (manipulation, navigation, cloud) to deliver production-ready perception stacks for autonomous operation in dynamic construction environments.

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.

• Python 3.x
• C++17/20
• ROS 2
• PyTorch
• Open3D
• RANSAC