Senior Engineer Robotics

Role and context

Capture hardware and synchronization

• Select, qualify, and integrate cameras, wearable rigs, smart glasses, depth and stereo modules, VR headsets, hand-tracking and biosignal sensors, and on-robot sensor suites.
• Evaluate hardware for field of view, resolution, frame timing, exposure, ergonomics, and failure modes; manage custom-device requirements, design reviews, pilot builds, and qualification with partners.
• Own camera intrinsics and extrinsics, multi-camera and hand-eye calibration, IMU alignment, and technician recalibration procedures.
• Synchronize video, biosignals, joint states, pose, and control commands through clock discipline, triggering, PTP/NTP strategy, common time bases, and drift measurement.
• Diagnose and eliminate sub-frame and millisecond-scale offsets that can make datasets unusable.

Fleet and facility operations

• Own humanoid fleet uptime and delivered hours, including maintenance, spares, wear-part cycles, failure logging, MTBF, and repair turnaround.
• Set and meet monthly delivered-hours targets; diagnose robot, operator, rig, and QA-rework bottlenecks.
• Build the operator function through recruiting, training, shift design, per-operator quality tracking, and feedback from rejection reasons.
• Bring a new collection site from an empty warehouse to steady production, including layout, capture cells, network, storage, on-site compute, power, safety, access control, commissioning, and SOPs.
• Launch the new site without interrupting production at the existing site.

Data handoff and leadership

• Define capture data contracts covering schemas, topics, naming, metadata, and session structure so warehouse output converts into the training format.
• Co-own quality gates and the reject-reason taxonomy with the MLOps lead, and own work upstream of ingestion.
• Translate customer acceptance specifications into capture-floor procedures and represent data quality in technical reviews when batches are disputed.
• Lead engineers, technicians, and operators through task allocation, hiring, technical standards, and priorities; represent collection operations to customers, research partners, and hardware vendors.

Required qualifications

• 7+ years in robotics, hardware systems, or sensor engineering, including at least 2 years with humanoid, manipulation, or wearable capture systems at production scale; not exclusively wheeled autonomous navigation.
• Hands-on multi-sensor synchronization experience, with the ability to explain how a real issue was measured and fixed.
• Practical multi-camera, depth-sensor, IMU, hardware-triggering, and USB/GMSL/Ethernet capture-pipeline integration and calibration experience.
• Working knowledge of humanoid teleoperation, VR-based retargeting, gloves or exoskeletons, and whole-body or upper-body controllers.
• Robotics data tooling knowledge including ROS 2 and rosbag/MCAP, plus conceptual familiarity with formats such as LeRobot and understanding of what makes an episode trainable.
• Python and C++ skills sufficient to write capture tools, QA scripts, and diagnostics.
• Ownership of an operational metric such as uptime, yield, throughput, delivered hours, or cost per unit, with accountability for delivery.
• Experience leading a technical team or shift operation with delivery accountability.
• Willingness to work on the floor in a UAE warehouse, on-site.

Strong pluses

• Direct experience with Unitree-class humanoids or equivalent is a strong plus.
• Biosignal acquisition such as EMG or eye tracking; supplying data to or training VLA or robot foundation models; Gulf and Asia hardware supplier management; CAD and rapid fixture or enclosure prototyping; or standing up a physical production or data-collection facility are strong pluses.

Location and work arrangement

• The role is full-time and on-site, with regular on-site presence at the Dubai collection facility.
• The role description lists Abu Dhabi, UAE, and also calls for work on-site in the UAE warehouse.