
Harvested Robotics is an Indian company developing AI-powered laser weeding robots for agriculture. Their flagship product, RAक्षक - Laser Weeder, is designed for Indian farms and tractors. It utilizes precision laser technology and deep learning algorithms for advanced weed detection and eradication, eliminating the need for tilling or chemical spraying. This approach preserves soil health, protects essential organisms, and significantly reduces labor intensity compared to manual weeding. Key features include tractor mounting, robotic platforms with individual weed recognition, AI-driven detection and stem prediction, and dynamic beam steering for different crop widths. The system boasts 90% weed detection, 5mm tracking accuracy, and supports 3+ crop varieties.

Harvested Robotics is an Indian company developing AI-powered laser weeding robots for agriculture. Their flagship product, RAक्षक - Laser Weeder, is designed for Indian farms and tractors. It utilizes precision laser technology and deep learning algorithms for advanced weed detection and eradication, eliminating the need for tilling or chemical spraying. This approach preserves soil health, protects essential organisms, and significantly reduces labor intensity compared to manual weeding. Key features include tractor mounting, robotic platforms with individual weed recognition, AI-driven detection and stem prediction, and dynamic beam steering for different crop widths. The system boasts 90% weed detection, 5mm tracking accuracy, and supports 3+ crop varieties.
About the job
Location: Hyderabad (On-site)
Employment Type: Full-Time
Joining: Immediate( or candidates who can join within a short notice period)
About Us
At Harvested Robotics, we’re building laser-weeding robots for farm tractors — helping farmers eliminate weeds efficiently and sustainably. Our robots combine cutting-edge AI, vision systems, and hardware to revolutionize agriculture.
Role Overview
As a Computer Vision Engineer, you’ll develop the systems that help our robots see, understand, and act — enabling precise real-time decision-making through image processing and deep learning on the edge.
Responsibilities
· Develop, train, and validate computer vision models for crop and weed detection.
· Optimize models for real-time inference on edge computing platforms (Jetson/x86).
· Collaborate with the annotation team to curate high-quality training datasets.
· Design and test lighting and camera setups for consistent imaging in diverse field conditions.
· Integrate and deploy vision systems with the robotics and embedded teams.
· Explore and implement state-of-the-art CNN architectures and vision algorithms.
· Work with depth cameras and 3D point clouds for spatial understanding.
· Maintain and optimize software on Linux-based edge systems.
Requirements
· Proficiency in PyTorch or TensorFlow.
· Strong understanding of CNNs and computer vision fundamentals.
· Experience deploying vision systems in real-world environments.
· Hands-on with Linux and edge hardware platforms (e.g., NVIDIA Jetson).
· Experience managing or coordinating data annotation workflows.
· Familiarity with stereo/depth vision and point cloud processing.
Nice to Have
· Experience in robotics or outdoor/agricultural applications.
· Understanding of visual odometry and multi-sensor fusion.
· Familiarity with ROS (Robot Operating System).
Perks
· Work alongside Denver, our resident Golden Retriever and Happiness Officer 🐾
· Fast iterations, big ownership, zero bureaucracy.
· Real-world testing — your code runs on real robots in real farms.
· A fun, driven team building meaningful technology that ships.
Salary: Upto ₹8 LPA
How to Apply
If you’re passionate about real-world robotics and want to help build the future of agriculture, send your resume to hiring@harvestedlabs.com.