We're seeking an exceptional AI / Robotics Research Engineer to design and build vision-based autonomous systems operating in GPS-denied, fast-changing, and high-velocity environments (e.g., UAVs, aerial robotics). You'll work hands-on at the intersection of deep reinforcement learning, real-time computer vision, model predictive control (MPC), and robotics, creating novel ML models and systems - not just stitching together open-source libraries.You will collaborate with our hardware, embedded systems, and mechatronics teams to deploy AI models in the loop - in real-world settings with real consequences.TasksDesign and implement custom machine learning architectures for vision-based navigation and control.Develop and optimize real-time perception systems using CNNs, transformers, or event-based vision.Apply deep reinforcement learning and MPC to guide autonomous behaviors in dynamic environments.Architect robust sensor fusion pipelines with IMUs, event cameras, lidar, radar, and visual odometry.Build, train, and evaluate ML models in simulation and deploy them to embedded hardware.Integrate AI with traditional control theory to achieve closed-loop autonomy at scale.Use and optimize NVIDIA toolkits (CUDA, TensorRT, DeepStream, Jetson) for performance-critical workloads.Requirements3–7+ years of hands-on experience in AI/ML, robotics, or autonomous systems research (industry or PhD/postdoc).Deep knowledge of real-time computer vision, sensor fusion, and model-based control.Strong expertise in deep reinforcement learning, optimal control, and/or hybrid AI systems.Track record of designing custom ML models or training pipelines, not just reusing open-source architectures.Advanced Python and C++ proficiency; deep familiarity with PyTorch and/or TensorFlow.Hands-on experience with NVIDIA's GPU toolkits for embedded or real-time AI deployment.Experience deploying in simulation and hardware-in-the-loop environments.Preferably experience in aerospace, defense, or other high-velocity robotics environments. Bonus Points* Experience with event-based cameras (e.g., Prophesee, DVS).* Publications in top-tier AI/robotics conferences (e.g., ICRA, NeurIPS, CVPR).* Familiarity with GNC systems, real-time operating systems (RTOS), or flight software.* Prior startup, defense, or aerospace engineering background.BenefitsBe part of a team building autonomous systems from the ground up.Access to bleeding-edge hardware and simulation environments.Competitive salary + equity.Full-time, on-site access to our custom-built lab space at Berlin TXL.