Technical Lead (m/f/d)
Role Overview
Lead the end-to-end operation of a large-scale data-generation environment where humanoid robots perform real-world tasks to create datasets for AI and robotic systems.
Account for robot performance, data-collection pipelines, quality assurance, technical teams, vendor management, and customer delivery.
This is a hands-on leadership position combining technical depth with operational responsibility.
Key Skills for This Role
Full Job Posting
About the role
Lead the end-to-end operation of a large-scale data-generation environment where humanoid robots perform real-world tasks to create datasets for AI and robotic systems.
Account for robot performance, data-collection pipelines, quality assurance, technical teams, vendor management, and customer delivery.
This is a hands-on leadership position combining technical depth with operational responsibility.
Robotics and operations
- Act as the primary technical escalation point for robot, teleoperation, and data-collection issues.
- Diagnose and resolve humanoid robot hardware and software faults, data-capture failures, synchronization problems, and quality concerns.
- Find root causes of operational failures, implement lasting corrective actions, and maximize fleet uptime and efficiency.
- Manage compute, networking, and storage infrastructure requirements.
Data pipelines and quality
- Design and optimize end-to-end pipelines for data capture, synchronization, storage, validation, quality assurance, packaging, and customer delivery.
- Define data schemas, metadata standards, and collection specifications.
- Implement automated validation and quality controls to meet customer acceptance standards.
- Monitor throughput, quality, utilization, and productivity.
Teams, customers, and vendors
- Build and manage multidisciplinary teams of engineers, operators, and QA specialists; mentor technical staff and drive continuous improvement.
- Develop and maintain standard operating procedures and establish training and certification programs for operational teams.
- Translate customer data requirements into internal processes and acceptance criteria; act as the primary technical contact for customer engagements and reviews.
- Lead discussions on quality, delivery milestones, and acceptance testing; manage robotics vendors and outsourced partners and meet service-level agreements.
Qualifications
- Bachelor's or master's degree in robotics, computer engineering, electrical engineering, mechanical engineering, computer science, or a related field.
- At least 5 years of engineering experience with substantial hands-on exposure to robotics systems and/or large-scale data operations.
- Strong expertise in humanoid robotics platforms and robotic systems diagnostics; experience with ROS/ROS2.
- Proven experience designing and managing data collection, data generation, or AI training data pipelines.
- Strong understanding of data formats and schema design, validation frameworks, data storage solutions, and quality assurance methodologies.
- Experience leading technical and operational teams; strong stakeholder management and customer-facing communication skills.
- Fluent Mandarin Chinese and professional English communication skills.
Location and work arrangement
- The role is based onsite in Abu Dhabi, UAE.
Employment
Full-time role.
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