Computer Vision Engineer (All levels)

Join our world-class computer vision team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll develop cutting-edge perception systems that enable robots to understand and interact with complex greenhouse environments - from identifying ripe produce to detecting plant diseases and optimizing crop health., * Design and implement robust computer vision algorithms for crop detection, ripeness assessment, and precise localization in dynamic greenhouse environments

• Develop deep learning models for multi-class segmentation, object detection, and tracking of plants, fruits, and agricultural structures
• Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy
• Build intelligent systems that adapt to varying environmental conditions, including changes in lighting, plant growth stages, and seasonal variations
• Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency
• Implement continuous learning systems that improve model performance through data collected from our deployed robot fleet
• Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions

Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or graduating by Summer 2025)

• Strong programming skills in C++ and/or Python for computer vision applications
• Understanding of fundamental computer vision concepts: image processing, feature detection, camera calibration, and 3D geometry
• Experience with deep learning frameworks (PyTorch, TensorFlow) and classical CV libraries (OpenCV)
• Familiarity with Linux environments and version control systems
• Passion for solving complex real-world problems with tangible impact, New Graduate / Entry Level (0-2 years)
• Recent graduate or final year student with strong academic performance
• Hands-on computer vision experience through internships, research projects, or competitions
• Demonstrated programming skills through coursework or personal projects
• Understanding of CNNs and basic deep learning architectures

Early Career (2-5 years)

• Solid foundation in both classical and deep learning-based computer vision
• Experience deploying at least one vision system from research to production
• Proficiency with modern architectures (YOLO, Mask R-CNN, Vision Transformers)
• Understanding of model optimization techniques and edge deployment

Senior Level (5-8 years)

• Proven track record of deploying vision systems in production environments
• Experience with 3D vision, multi-sensor fusion, or SLAM algorithms
• Knowledge of model optimization for embedded systems (quantization, pruning, distillation)
• Ability to mentor junior engineers and lead technical initiatives

Staff/Principal Level (8+ years)

• Technical leadership experience with complex perception systems
• Deep expertise across multiple vision domains (2D/3D, classical/learning-based)
• Strategic thinking about perception architecture and technology roadmaps
• Track record of building and scaling high-performance computer vision teams, * Experience with agricultural or outdoor computer vision applications
• Knowledge of 3D sensors (stereo cameras, LiDAR, structured light)
• GPU programming skills (CUDA) for accelerating vision algorithms
• Experience with vision-language models or foundation models
• Familiarity with ROS2 for perception system integration
• Publications at top-tier computer vision conferences (CVPR, ICCV, ECCV)
• Open source contributions to computer vision projects

Launch Your Career: For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial vision systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale: Your perception algorithms will directly enable robots to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence: Work with state-of-the-art computer vision technology including modern deep learning architectures, 3D perception, and multi-modal sensor fusion. Rapid Innovation: Our software-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over-the-air as crops evolve. Unique Challenges: Tackle perception problems that combine the complexity of outdoor vision (varying lighting, weather) with the precision requirements of industrial automation. Growth Opportunity: Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of agricultural perception. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning: Work alongside experienced computer vision engineers who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of vision system development. Flexible Work Culture: Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations., Ready to revolutionize how the world grows food through advanced computer vision? Whether you're starting your career or looking to make a bigger impact, join us in building perception systems that will enable sustainable food production for billions. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.