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.

Tasks

• Design and implement custom machine learning architectures for vision-based navigation and control.

• Develop and optimize real-time perception systems using CNNs, transformers, or neuromorphic sensors.

• Apply deep reinforcement learning and MPC to guide autonomous behaviors in dynamic environments.

• Architect robust sensor fusion pipelines with IMUs, event cameras, 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.

Requirements

• 2–5+ years of hands-on experience in AI/ML, robotics, or autonomous systems research (industry or PhD/postdoc).

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.

Benefits

• Be 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.