Location : Hyderabad (On-site)
Employment Type : Full-Time
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.