Perception Engineer
10x
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- 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 optimisation libraries (Ceres, GTSAM).
- 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.
- Python 3.x
- C++17/20
- ROS 2
- PyTorch
- Open3D
- RANSAC