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# Forward Deployed AI Engineer

- **Company:** Agile Robots Ag
- **Location:** München, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Computer Vision, C++ (Programming Language), Computer Programming, EtherCAT, Python (Programming Language), Kinematics, Linux System Administration, Machine Learning, Object Detection, OpenCV, Performance Tuning, Tensorflow, OPC Unified Architecture, Robotic Automation Software, Systems Integration, Management of Software Versions, Reinforcement Learning, Pytorch, Information Technology, ONNX (Open Neural Network Exchange) Format, Free and Open-Source Software, Machine Learning Operations, TensorRT, Data Pipelines
- **Published:** September 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0e9993fbddb5c777

## About the Role

* Master's degree in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a related field - or equivalent practical experience
 * Minimum of four years of professional experience in machine learning, AI for robotics, or computer vision
 * Hands-on experience working with real robots - robot arms, mobile manipulators, grippers, cameras, and sensors - not only in simulation
 * Proven experience with end-to-end learned models for robotics (e.g., VLAs, diffusion policies, imitation or reinforcement learning policies), covering training, fine-tuning, and deployment
 * Strong programming skills in both Python and C++
 * Solid command of machine learning frameworks (e.g., PyTorch, TensorFlow) and the full model lifecycle: data curation, training, evaluation, and deployment
 * Experience with modern computer vision models such as YOLO, SAM, vision transformers, and self-supervised backbones (e.g., DINOv2, CLIP)
 * Experience with learned grasp generation for manipulation (e.g., GraspNet, Dex-Net, or comparable approaches)
 * Good understanding of robot (inverse) kinematics, coordinate transformations, and hand-eye calibration
 * Experience working in Linux environments
 * Willingness to learn new technologies and adapt quickly in customer environments
 * Fluency in English, * Experience with large-scale demonstration data collection, teleoperation setups, and sim-to-real transfer
 * Experience with robot learning simulation frameworks (e.g., NVIDIA Isaac Sim/Lab, MuJoCo, Gazebo)
 * Good understanding of classical computer vision (e.g., OpenCV, PCL, camera calibration, point cloud processing)
 * Experience optimizing inference (e.g., TensorRT, ONNX, quantization) and deploying on NVIDIA embedded platforms (e.g., Jetson Orin, AGX, Xavier)
 * Experience with MLOps tooling: experiment tracking, dataset versioning, and continuous training or evaluation pipelines
 * Publications or open-source contributions in robot learning, manipulation, or computer vision
 * Familiarity with industrial automation environments (e.g., PLCs, EtherCAT, OPC UA)

## Description

* Deploy, fine-tune, and evaluate AI models on real robotic systems at customer sites - including Vision-Language-Action (VLA) models, diffusion policies, and other end-to-end learned policies
 * Adapt and train perception models for robotic applications, e.g. object detection, segmentation, and pose estimation based on YOLO, SAM, vision transformers, and self-supervised backbones such as DINOv2
 * Integrate and tune grasp generation models (e.g., GraspNet, Dex-Net, Contact-GraspNet) for bin picking and manipulation tasks
 * Build data pipelines for customer deployments: demonstration and teleoperation recording, dataset curation, annotation, training runs, and systematic evaluation of model performance
 * Bring models into production: optimize inference, deploy on edge and embedded hardware, and integrate models into our robotic software platform
 * Work closely with customers to understand technical requirements and translate them into robust, AI-driven robotics applications
 * Diagnose, troubleshoot, and resolve model, software, and system integration issues both remotely and on-site
 * Travel to international customer sites for workshops, deployments, training, and technical support (up to 40% travel)


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