Perception Engineer at 100networks
Bengaluru, Karnataka, India · noida · full time · mid level
Compensation: INR 2500000–3000000 per year
About the role
## About Origin Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour 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, and more. ## 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. ## Compensation ₹25–30 LPA base + ESOPs · On-site, Bengaluru
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 (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 optimization libraries (Ceres, GTSAM). ## Good to Have Python 3.x · C++17/20 · ROS 2 · PyTorch · Open3D · RANSAC
Benefits
- ₹25–30 LPA base + ESOPs. - Gain experience in a dynamic startup environment at the forefront of robotics and AI innovation. - Contribute to the development of technology that will revolutionize the construction industry. - Work alongside a talented and passionate team committed to making a real-world impact. - Learn from experienced professionals. - Gain practical experience in a real-world engineering environment.
Skills: Python, C++, ROS 2, PyTorch, PCL, Open3D, LiDAR, Sensor Fusion, Point Clouds, TensorRT
Browse more jobs on 100Networks