Perception Engineer

Origin; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Work alongside founders and senior engineers

Opportunity to shape products and company direction

Job summary

A robotics engineering firm in Bengaluru is seeking a Perception Engineer to develop and deploy advanced perception pipelines for autonomous drywall-finishing robots. You will work closely with founders and senior engineers, utilizing your expertise in Python, C++, and robotics frameworks such as ROS 2 to enhance robotic perception capabilities. This is an opportunity to shape products and contribute to innovative solutions in the construction industry.

Qualifications

• Solid grasp of linear algebra, probability and geometry.
• Familiarity with deep-learning frameworks for classification, detection, or segmentation.
• Hands-on experience with point-cloud processing techniques.

Responsibilities

• Develop and deploy 3D perception components for geometric scene understanding.
• Build ROS 2 nodes that process and interpret spatial data.
• Train and integrate deep-learning models for 3D semantic understanding.
• Design robust sensor fusion strategies for scene reconstruction.
• Benchmark and optimize perception models for edge computing platforms.
• Collect and curate high-quality datasets and automate training pipelines.
• Collaborate across robotics teams to deliver production-ready perception stacks.

Skills

Python 3.x

C++17/20

ROS 2

PyTorch

Open3D

RANSAC

Education

Courses in Computer Vision or Robotics Perception

Tools

TensorRT

Git

CI workflows

Job description

Overview

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.

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 optimization 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