Computer Vision Engineer (All levels)

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

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

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

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

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.

Vision Libraries : OpenCV, PCL, Open3D

Deep Learning : PyTorch, TensorFlow, ONNX

Deployment : TensorRT, OpenVINO, ONNX Runtime

Sensors : RGB cameras, stereo vision, depth sensors

Infrastructure : Cloud-native training pipelines, edge deployment systems

Integration : ROS2 for robotic system integration

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.