About the Role
Help us bring our robots to life in greenhouses around the world. Whether you're a recent graduate or an experienced engineer, you'll build perception systems that enable robots to identify ripe produce, detect plant diseases, and navigate complex greenhouse environments autonomously.
As a Computer Vision Engineer at eternal.ag, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. You'll work at the intersection of classical computer vision and modern deep learning, creating perception systems that operate reliably in challenging agricultural environments with varying lighting, occlusions, and organic variability.
You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, pushing the boundaries of what's possible in agricultural computer vision while delivering practical solutions that work 24/7 in production environments.
What You'll Do
- Maintain and improve our perception pipeline, including detecting ripe tomatoes among dense foliage,
estimating cut points on stems with sub-centimeter accuracy, and adapting to current crop types as we expand.
- Build and maintain data and model lifecycle infrastructure, from data collection and annotation to model monitoring, drift detection, and retraining across our growing robot fleet.
- Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy.
- Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency.
- Build tools for debugging, analysis, and performance evaluation of your algorithms. Root-cause failures when things break in production.
- Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions.
- You own your projects from prototype to production. We expect production-quality software engineering, not just notebook experimen