Robotics Engineer
Pubblicato il 08-10-2026 - Altro in Roma
We are looking for a Robotics Engineer focused on teleoperation , robot control, and realtime motion pipelines for humanoid robots. The role focuses on building VR-based, low-latency teleoperation systems that connect human operators to humanoid robots through VR controllers, motion tracking, video streaming, and robot control interfaces. The goal is to enable fluid, natural, and data-rich human-robot interaction while supporting scalable dataset collection for VLA, RL, and imitation learning pipelines.
Responsibilities Design, implement and iterate teleoperation pipelines for humanoid robots in simulation and in the real world.
Integrate VR controllers, head-mounted displays, and motion tracking systems, including Oculus / Meta Quest or similar devices.
Develop realtime motion retargeting pipelines for humanoid control, mapping human motion to robot kinematics, limits, and safety constraints.
Implement low-latency communication pipelines for synchronized robot commands, sensor feedback, video streams, and motion data.
Validate teleoperation performance under realistic conditions,
including latency, bandwidth limitations, signal variability, and robot safety constraints.
Collaborate closely with multidisciplinary teams including: AI / ML engineers, Motion and control engineers, Simulation engineers, Mechanical design team.
Support VLA, RL, and imitation learning pipelines by enabling high-quality human demonstrations and structured robotics datasets.
Requirements >2 years experience in robotics, teleoperation or VR / AR systems.
Ms or Phd in Robotics, Automation, Computer Science, Mechatronics, Computer Engineering or related field.
Strong Python skills. You can write maintainable code, debug realtime systems, and integrate robotics software components.
Familiarity with robot control, motion capture, inverse kinematics, optimal control, and motion retargeting.
Understanding of realtime synchronization, latency, bandwidth, and distributed system debugging.
Strong own