Computer Vision Engineer

About Us

At Harvested Robotics, we are revolutionizing sustainable farming through cutting-edge AI and robotic solutions. Our laser weeding technology integrates advanced robotics and machine learning to deliver precision agriculture tools that help farmers reduce dependency on chemicals and labor-intensive processes.

Role Overview

We are seeking a Computer Vision Engineer with expertise in designing and implementing vision-based systems for agricultural robotics. This role focuses on developing perception systems that enable real-time weed detection, classification, and laser-guided targeting in dynamic field conditions. The ideal candidate will have a strong background in computer vision, machine learning, and a passion for deploying AI-driven solutions in real-world applications.

Responsibilities

• Develop and optimize computer vision systems for real-time weed detection, classification, and localization in agricultural environments.
• Design and implement algorithms for weed segmentation and precise laser targeting under diverse field conditions.
• Build and maintain pipelines for large-scale dataset curation and training of weed and crop recognition models.
• Train and deploy machine learning models, including reinforcement learning approaches, to enhance system performance and adaptability across various weed and crop types.
• Create and manage simulation environments to test and validate vision algorithms in controlled and field conditions.
• Integrate vision systems with robotics platforms, ensuring seamless operation and high accuracy in laser targeting systems.
• Continuously refine algorithms to improve robustness against environmental challenges, such as varying lighting, soil types, and crop growth stages.
• Collaborate with cross-functional teams, including robotics, hardware, and software engineers, to ensure cohesive product development and deployment.

Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience: 2+ years of hands-on experience in developing computer vision solutions.
• Proficiency with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
• Strong programming skills in Python and/or C++ for vision algorithm development.
• Experience with image processing, object detection, and classification techniques.
• Familiarity with embedded systems and deploying vision models on edge devices, particularly NVIDIA Jetson platforms.
• Strong analytical and problem-solving skills, with a focus on real-world application challenges.

Preferred Skills

• Knowledge of reinforcement learning or advanced machine learning techniques for improving adaptability of vision systems.
• Experience designing and testing computer vision systems in dynamic outdoor environments.
• Familiarity with robotics and sensor integration for precision agriculture.
• Experience working with large-scale datasets for model training and validation.

Why Join Us?

• Be part of the founding team and shape the future of sustainable farming.
• Work on cutting-edge AI and robotic technologies with real-world impact.
• Thrive in a deep-tech company that values innovation, collaboration, and meaningful contributions.
• Shape the future of farming by developing tools that reduce chemical dependency, labor costs, and enhance productivity for farmers.

Location: Hyderabad, India

Experience Level: 2+ years

Employment Type: Full-time

Apply now to join us in redefining sustainable farming with robotics and AI!