# Lead 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/9dbfb64b-b5d5-4a14-9e17-ef8463d024c6)

## Description

**Description**  
**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, etc.  
  
**About the Role**  
You will work on building and optimizing 3D perception systems that enable robots to understand and interact with complex real-world environments. The goal is to develop robust perception pipelines that work reliably across both simulation and real-world construction sites, ensuring accurate scene understanding, localization, and decision-making.  
  
**Key Responsibilities**  
**3D Perception Development & Scene Understanding**

-   Design, implement, and deploy realtime 3D perception pipelines leveraging LiDAR, IMU, Stereo, and RGB cameras.
-   Develop algorithms for spatial and temporal data interpretation to enable high-fidelity semantic scene understanding.
-   Optimize ego-motion estimation and localization modules to ensure seamless integration with downstream planning and control tasks.

  
  
**Deep Learning**

-   Train and integrate deep learning models required for semantic world understanding and surface finish classification for quality control
-   Collect and curate high-quality datasets (real and synthetic) and automate training pipelines and experiment tracking.
-   Benchmark and optimize perception models for edge devices to ensure real-time performance in resource-constrained environments

  
  
**Sensor Fusion & Localization**

-   Design and implement sensor fusion strategies combining visual, inertial, and spatial data
-   Architect and implement sophisticated sensor fusion strategies that integrate classical methods with deep learning approaches to convert noisy, asynchronous data from heterogeneous sensors into a unified environment representation.

  
  
**Calibration**

-   Develop and automate robust extrinsic and intrinsic calibration procedures (Camera, LiDAR, IMU) using target-based and/or targetless methods.
-   Design and implement algorithms for online calibration drift detection and self-healing to maintain system integrity during long-term deployments.
-   Establish rigorous quantitative metrics to objectively evaluate and certify calibration quality.

  
  
**Collaboration**

-   Partner with Navigation, Manipulation, and Cloud teams to ensure perception outputs are optimized for downstream path planning, grasping, and remote fleet monitoring.
-   Define, track system-level and own system level KPIs and perception metrics to identify regressions across software iterations.

  
  
**Requirements**

-   5+ YoE
-   Strong fundamentals in computer vision and 3D perception
-   Proficiency in C++ (Python is a plus)
-   Familiarity with PyTorch, TensorRT
-   Basic understanding of Localisation and SLAM
-   Ability to work with real-world data and debug complex systems

  
  
**Nice to Have**

-   Experience with Nvidia Deepstream, GStreamer, Holoscan
-   Experience with ROS/ROS2
-   Hands-on experience with LiDAR, RGB-D cameras, or IMUs
-   Familiarity with OpenCV, PCL, or similar libraries
-   Experience working on robotics or vision-based projects