Forward Deployed AI Engineer (m/f/d)

Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers. We combine the latest technology in the field of AI with powerful robotic systems — from industrial robot arms and mobile manipulators to humanoids — to solve tasks that classical automation cannot address.

At the heart of our offering is a versatile software platform for orchestrating complex robotic systems. It allows efficient customization for specific customer requirements: configuring systems, developing reusable skills, parameterizing processes, and executing tasks reliably in production. Learned models — from perception to end-to-end policies — are a core part of this platform.

Our solutions are deployed with international customers across a wide range of industries. Seamless integration and scalable deployment are at the core of our mission.

We are looking for a passionate Forward Deployed AI Engineer to bring state-of-the-art robot learning and computer vision models into real production environments. In this role, you will train, fine-tune, and deploy AI models directly on customer robots — from Vision-Language-Action models and diffusion policies to perception and grasp generation networks. You will become a trusted technical partner, turning customer challenges into robust, data-driven robotics applications. The role is based in Munich, Germany.

Responsibilities

• 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)

Essential Skills

• 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

Beneficial Skills

• 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)

What we offer

• A dynamic high-tech company, combined with financial soundness and world-class investors.

• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.

• Lots of development opportunities as we continue to grow.

• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.

• Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.

• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment

About us

Agile Robots is a leading provider of AI-powered robotics solutions. By combining artificial intelligence and robotics, the company makes industries smarter, more flexible, and more efficient.

Founded in Munich in 2018 by renowned robotics researchers from the German Aerospace Center (DLR), Agile Robots has experienced rapid global growth. Today, more than 3,500 highly skilled robotics and AI enthusiasts are employed worldwide. The company has one of the largest research and development teams in the AI and robotics industry.

Agile Robots has built a unique portfolio, together with the subsidiaries BÄR Automation, Franka Robotics, idealworks, and Krause Automation, the company covers all areas of AI-driven robotics.

Find out more at: