Senior Data Engineer

We are seeking a Senior Robotics Data Engineer (Humanoid) to design, build, and operate large-scale data pipelines that power humanoid robots and embodied AI systems. This role sits at the intersection of robotics, data engineering, and machine learning, with direct impact on real-world robotic intelligence.

You will own end-to-end robotics data infrastructure—from data collection and ingestion to quality, versioning, and training readiness—across both real-world and simulated environments.

Key Responsibilities

• Design, build, and maintain large-scale robotics data pipelines
• Lead real-world and simulated data collection efforts
• Develop scalable systems for data ingestion, storage, versioning, and retrieval
• Build and manage annotation workflows and data quality pipelines
• Partner closely with robotics and machine learning teams to deliver training-ready datasets
• Define best practices for robotics data engineering and mentor junior engineers

Required Qualifications

• 6+ years of experience in robotics, data engineering, or ML data infrastructure
• Experience working with humanoid robots or embodied AI systems
• Strong proficiency in Python and experience with ROS / ROS2
• Hands-on experience with multi-modal sensor data (e.g., vision, depth, force, IMU)
• Experience designing and operating large-scale data systems

Preferred Qualifications

• Experience with humanoid robotics, manipulation, or whole-body control
• Exposure to reinforcement learning, imitation learning, or robotics foundation models
• Experience with simulation environments and synthetic data generation
• Research experience, publications, or open-source contributions
• Arabic speaker

What We Offer

• Opportunity to work on cutting-edge humanoid robotics and embodied AI systems
• High-impact role shaping the data foundations of intelligent robots
• Collaboration with highly experienced robotics and AI teams
• Competitive compensation and strong growth opportunities