Lead Perception Engineer at 100networks

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 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. ## Compensation ₹40–60 LPA base + ₹10–20 LPA ESOPs · On-site, Bengaluru

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 sophisticated sensor fusion strategies that integrate classical methods with deep learning 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 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 and own system-level KPIs and perception metrics to identify regressions across software iterations.

Requirements

• ## Requirements - 5+ years of experience - 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

Benefits

• ₹40–60 LPA base + ₹10–20 LPA 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.