In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision-making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting-edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human-machine interaction, the AI Department is the perfect place for you.
As a Teleoperation Software Engineer, you develop robust, low-latency teleoperation pipelines that enable intuitive and stable control of bimanual robotic systems—including dual-arm and humanoid platforms. Your work supports customer projects, internal developments, demos, trade shows, and exploratory prototypes, and serves as a key enabler for data collection as well as the advancement of autonomy.
Design and implement end-to-end teleoperation systems—from human input devices to real-time control of physical robotic systems
Map human motion to robotic kinematics across differing morphologies, workspace constraints, and degrees of freedom
Develop low-latency, high-performance control loops, including filtering, prediction, and latency compensation strategies
Integrate teleoperation with perception systems (vision, depth, force/torque sensing, tactile sensing) for precise and safe manipulation
Ensure safe operation through collision avoidance, workspace constraints, compliance control, and fail-safe mechanisms
Integrate teleoperation software into existing robotic systems and deploy it on real hardware
Collaborate closely with AI and learning teams to enable teleoperation-based data collection for imitation learning and autonomous systems
Work with software engineers, project managers, and application teams to define requirements and scalable teleoperation architectures
Support customer projects, demos, trade shows, and internal users with system setup, operation, and troubleshooting
Master’s degree or PhD in robotics, computer science, or a related technical field
At least 3 years of hands-on experience developing robotic control or teleoperation systems
Strong programming skills in C++ and/or Python, especially in real-time or performance-critical software development
Solid experience with ROS (Robot Operating System) and working with real robotic systems
Excellent understanding of robot kinematics, coordinate systems, and task-space and joint-space control, particularly for dual-arm systems
Experience building low-latency, high-performance software pipelines and debugging timing and synchronization issues
Familiarity with human input devices such as VR controllers, motion capture systems, haptic devices, or exoskeletons
Experience integrating sensors such as cameras, depth sensors, force/torque sensors, or tactile sensors into control loops
Experience with robotics simulation tools (e.g., Isaac Sim, MuJoCo) and cloud systems is a plus
High level of ownership when tackling complex tasks, along with strong teamwork skills across software, hardware, and research teams at the system level
Very good English skills and good German skills
