AI / Robotics Research Engineer
AI / Robotics Research Engineer
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Job Description
Were 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). Youll 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 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.
Requirements
- 37 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 NVIDIAs 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.
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.
Employment Type
Full Time
