# Perception Engineer

**Company:** [Origin](http://jobs.workable.com/companies/i6CRnMYNgc1yzpDvadsnAg.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Employment type:** Full-time
**Department:** Computer Visions & AI

[Apply for this job](http://jobs.workable.com/view/3fc9cb0b-fd6e-4841-8a9b-5840a80e6ebb)

## Description

### About Origin

[Origin](https://origin.tech/) (previously 10xConstruction) 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](https://www.origin.tech/) (Formerly 10xconstruction)[](http://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.

## 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