Perception Engineer

About Origin Origin (previously 10x. Construction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labor shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision.

Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.

About the Role

As a Perception Engineer at Origin (Formerly 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

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.

Requirements

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 (Py.

Torch or Tensor. Flow)—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 optimization libraries (Ceres, GTSAM). Good to have: Python 3.x C++17/20 ROS 2 Py.

Torch Open3D RANSAC