Are you looking to join a leading technology institute, headquartered in Abu Dhabi, that are looking to build a robotics engineering division from the ground up
Look no further as this Robotics Data Engineer position is exactly what you have been waiting for.
Reporting into the Engineering Manager, you will have the autonomy and independence to drive the technology capability from scratch, and work alongside the regional data team in driving this critical initiative for the business.
The role combines robotics, data engineering, and machine learning with a specific focus on Humanoid / Embodied AI technologies.
Responsibilities:
- Design and implement end-to-end data pipelines for robotics systems, including humanoid platforms
- Manage ingestion, synchronization, and storage of multimodal sensor data
- Ensure reliable dataset generation from real-world robot deployments and simulation environments
- Support data workflows for humanoid robot perception and manipulation tasks
- Build infrastructure to capture and curate datasets for embodied AI and foundation robotics models
- Drive strategy for data quality, annotation, labelling and key point tracking (human pose / robot joints)
- Implement robust sensor calibration, timestamp alignment, and data synchronization pipelines
- Support downstream ML workflows
- Work closely with robotics engineers, ML researchers, and autonomy teams to define data requirements
Skills / Experience Required:
- 5+ years of experience in robotics data engineering, perception data pipelines, or autonomous systems
- Strong proficiency in Python and experience with robotics software stacks (ROS/ROS2)
- Experience working with multimodal robotics sensor datasets (vision + LiDAR + IMU)
- Strong understanding of robotics data challenges: synchronization, calibration, noise, drift
- Experience building scalable pipelines for AI/ML training datasets
- Excellent problem-solving skills in real-world robotics environments
- Experience working directly with humanoid robots (Atlas, Digit, Tesla Optimus-style systems, etc.)
- Familiarity with locomotion, manipulation, and embodied AI datasets
- Exposure to reinforcement learning or imitation learning pipelines
- Experience with simulation tools (Isaac Sim, Mujoco, Gazebo)
For a confidential chat today apply via Linked In or email me via [Confidential Information]
