Teleoperation software engineer - neuragym (human)

Your mission & challenges As a Teleoperation Software Engineer (Human), you will develop robust, low-latency teleoperation pipelines that enable intuitive and stable control of bi-manual robotic systems, including dual-arm and humanoid platforms. Your work will support customer projects, internal development, demos, trade fairs, and exploratory prototypes, and will be a key enabler for data collection and autonomy development. Your main tasks include: Design and implement end-to-end teleoperation systems, from human input devices to real-time robot control on physical hardware. Map human motion to robot kinematics with differing morphology, workspace limits, and degrees of freedom. Build low-latency, high-performance control loops, including filtering, prediction, and latency compensation strategies. Integrate teleoperation with perception systems (vision, depth, force/torque, tactile sensing) to enable precise and safe manipulation. Ensure safe operation through collision avoidance, workspace constraints, compliance control, and fail-safe mechanisms. Integrate teleoperation software into robotic systems and deploy on real hardware. Collaborate with AI and learning teams to enable teleoperation-based data collection for imitation learning and autonomy. Work with software engineers, project managers, and application teams to define requirements and scalable teleoperation architectures. Support customer projects, demos, trade fairs, and internal users during system setup, operation, and troubleshooting. What we can look forward to Master’s degree or PhD in Robotics, Computer Science, or a related technical field 3 years of hands-on experience developing robotic control or teleoperation systems Very strong programming skills in C++ and/or Python, with experience writing real-time or performance-critical software Solid experience with ROS (Robot Operating System) and working with real robotic platforms Strong background in robot kinematics, coordinate frames, 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-related 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 sensing into control loops Experience with robot simulation tools (e.g. Isaac Sim, MuJoCo) and cloud systems is a plus Ability to take ownership of complex tasks independently while collaborating closely with software, hardware, and research teams on system-level design and integration You have a perfect command of the English language.