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Crea una Job Alert gratuita per robotics engineer – teleoperation | humanoid robots - carate brianza | budget / bardi

Robotics Engineer – Teleoperation | Humanoid Robots - Carate Brianza | Budget

Pubblicato il 02-08-2026 - Mynameis in Bardi

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 c

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