Perception Data Engineer (Robotics) | Quantum Talent Group | Abu Dhabi

Quantum Talent Group; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

Quantum Talent Group is seeking an experienced Perception Data Engineer (Robotics) for an on-site, 12-month contract in Abu Dhabi. You will process sensor data, calibrate perception systems, and deliver clean datasets from robots and autonomous vehicles, using Python, ROS/ROS2, and advanced LiDAR-camera workflows.

You will work with robotics software engineers, perception researchers, and AI squads to ensure data quality and timely milestones, with strict on-site requirements in Abu Dhabi and a

Qualifications

• Bachelor degree in a technical field such as Robotics, CS, Mechatronics or Electrical Engineering.
• 2 to 5 years of robotics/perception engineering or autonomous vehicle data pipelines experience.
• Strong Python and ROS/ROS2 development experience with real robots or vehicles.

Responsibilities

• Own perception data pipelines and sensor calibration workflows for autonomous platforms.
• Process camera, LiDAR, IMU and GNSS data streams with precise synchronization.
• Develop calibration routines, coordinate transforms and 3D point cloud processing.
• Handle large rosbag/MCAP datasets for ML training and evaluation.
• Collaborate with robotics software, perception, localization and mapping teams.

Skills

Python

ROS/ROS2

Data pipelines

Sensor calibration

English communication

Education

Bachelor's degree in Robotics / CS / Mechatronics / EE

Tools

PCL/Open3D

PyTorch / TensorFlow

Job description

Position Summary

Quantum Talent Group is actively seeking an experienced, high-caliber, and technical Perception Data Engineer specializing in robotics and autonomous systems with 2 to 5 years of relevant professional experience to join our client’s advanced robotics division on a 12-month extendable contract basis on-site in Abu Dhabi. In this critical engineering role, you will be responsible for processing sensor data, calibrating perception systems, synchronizing multi-modal sensor streams, and preparing clean datasets from physical robots and autonomous vehicles. You will leverage your deep specialist expertise in Python, ROS/ROS2, LiDAR-camera projection, point cloud processing, and ego-motion compensation to deliver uncompromised data quality and algorithm performance. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global recruitment and robotics enterprise.

Detailed Job Description

As a Perception Data Engineer (Robotics) supporting Quantum Talent Group in Abu Dhabi, you will take full operational, tactical, and technical ownership of perception data pipelines, sensor calibration workflows, and dataset curation for autonomous platforms. Your day-to-day responsibilities include processing camera, LiDAR, IMU, and GNSS data streams from physical robots and autonomous test vehicles, implementing precise sensor synchronization, extrinsic/intrinsic calibration, coordinate transformations, and point cloud processing, executing LiDAR-camera projection and ego-motion compensation algorithms, extracting and cleaning perception datasets from rosbag and MCAP recording files, and collaborating closely with robotics software engineers, perception researchers, and AI squads. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex data synchronization bottlenecks under strict project delivery milestones. Furthermore, you will manage application requirements by sending your updated resume via direct email to Jean Florendo at [e-mail], ensuring strict compliance with the 2-5 years robotics experience and Abu Dhabi on-site requirements.

Key Responsibilities

• Design, build, and optimize data processing pipelines for camera, LiDAR, IMU, and GNSS sensor streams.
• Implement robust sensor synchronization, multi-modal calibration, coordinate transformations, and 3D point cloud processing.
• Develop and execute LiDAR-camera projection algorithms and ego-motion compensation routines for moving autonomous platforms.
• Extract, process, and curate clean perception datasets from raw rosbag and MCAP recording files for machine learning training.
• Troubleshoot and resolve data packet loss, timestamp drift, and calibration discrepancies across robotic sensor rigs.
• Collaborate seamlessly with robotics software engineering, perception, localization, and mapping squads.
• Author meticulous data processing scripts, calibration runbooks, dataset documentation, and validation reports.
• Support testing campaigns, track recording sessions, and validate sensor health on physical robots and autonomous test vehicles.

Required Qualifications & Skills

• Bachelor's degree in Robotics, Computer Science, Mechatronics, Electrical Engineering, or a related technical discipline.
• Minimum of 2 to 5 years of progressive professional experience in robotics, perception engineering, or autonomous vehicle data pipelines.
• Strong, demonstrable hands-on software development proficiency in Python and ROS/ROS2 frameworks.
• Deep practical operational experience working with physical robots, autonomous vehicles, and multi-modal sensor suites.
• Solid practical mastery of camera, LiDAR, IMU, and GNSS data processing, calibration, and spatial coordinate transforms.
• Proven experience handling large-scale sensor recordings, rosbag files, and MCAP log formats.
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under complex hardware-software integration conditions.
• Excellent written and verbal English communication skills with strong cross-functional collaboration abilities.
• Mandatory legal work eligibility and physical availability for full-time on-site operations in Abu Dhabi.

Nice-to-Have Skills

• Master's degree or specialized postgraduate coursework in Robotics, Computer Vision, or Autonomous Systems.
• Hands-on familiarity with C++ programming for high-performance sensor data processing and point cloud libraries (PCL, Open3D).
• Experience with deep learning frameworks (PyTorch, TensorFlow) for perception model training and dataset validation.
• Prior professional working experience in autonomous driving companies, drone manufacturers, or advanced robotics research labs.

• Salary/Rate: Market Competitive / Robotics Engineering Contract Package
• Deadline: Open until filled (Urgent Abu Dhabi On-Site Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: 12 Months Extendable Contract (Abu Dhabi, UAE - On-Site Engagement)