Autonomy Engineer / Autonomous Systems Project Lead
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Before you apply
LocationRas Al-Khaimah, Ras Al Khaimah, United Arab Emirates
Work modeon-site
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentEngineering
Company size501–1,000 people
PostedMay 11, 2026 · 5mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Robotics, Mechatronics, Electrical Engineering, Automation, Computer Engineering, or a related technical field
Minimum 5 years of experience leading autonomous vehicle, robotics, automation, or intelligent mobility projects
Proven experience managing complex multidisciplinary engineering projects involving autonomous systems and advanced sensor technologies
Strong technical understanding of autonomous navigation systems
Strong technical understanding of AI-based perception and computer vision
Strong technical understanding of sensor fusion and real-time control systems
Strong technical understanding of embedded systems and industrial communications
Strong technical understanding of electronics and automation architectures
Hands-on experience with LiDAR, radar systems, AI cameras, GPS/RTK positioning, and industrial communication protocols
Strong leadership, project coordination, and technical decision-making capabilities
Excellent troubleshooting, analytical, and communication skills
Experience in robotics, automotive autonomy, drones, industrial automation, or electric mobility is considered a strong advantage
Skills
Python
C/C++
ROS/ROS2
Linux
MATLAB/Simulink
LiDAR
radar
AI cameras
GPS/RTK
CAN Bus
NMEA 2000
Modbus TCP/IP
Ethernet/IP
RS485
MQTT
TCP/UDP
About the role
Sunreef Yachts is seeking an experienced Autonomy Engineer / Project Lead to lead the development and integration of advanced autonomous systems for next-generation yachts and intelligent mobility platforms. The role focuses on defining the overall autonomous architecture, managing system integration, and coordinating multidisciplinary engineering teams to deliver reliable and safe autonomous solutions.
Key Responsibilities
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Lead autonomous system projects including autonomous navigation, collision avoidance, auto-docking, route planning, remote operation, and intelligent control systems.
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Define and manage the overall autonomy system architecture, ensuring seamless integration between sensors, control systems, propulsion, communications, and onboard electronics.
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Coordinate and supervise technical activities across software, electronics, mechanical, and automation teams.
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Work closely with Sunreef’s existing PLC programming and HMI development teams, who will handle PLC software and interface implementation, while taking ownership of the overall autonomous system integration, technical direction, and project leadership.
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Integrate and calibrate advanced autonomous sensing technologies including LiDAR, radar, AI cameras, stereo vision systems, GPS/RTK, IMU, sonar, thermal cameras, ultrasonic sensors, and laser scanners.
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Develop and oversee sensor fusion, computer vision, AI perception, SLAM, obstacle detection, and path-planning systems for real-time autonomous operations.
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Support embedded software and autonomy platform integration using technologies such as Python, C/C++, ROS/ROS2, Linux, and MATLAB/Simulink.
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Manage communication and networking architectures including CAN Bus, NMEA 2000, Modbus TCP/IP, Ethernet/IP, RS485, MQTT, and TCP/UDP protocols.
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Lead testing, diagnostics, troubleshooting, simulation, and validation activities including field and sea-trial testing.
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Collaborate with suppliers, technology partners, and equipment manufacturers for integration and system optimization.
Requirements
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Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Automation, Computer Engineering, or a related technical field.
•
Minimum 5 years of experience leading autonomous vehicle, robotics, automation, or intelligent mobility projects.
•
Proven experience managing complex multidisciplinary engineering projects involving autonomous systems and advanced sensor technologies.
•
Strong technical understanding of:
•
Autonomous navigation systems
•
AI-based perception and computer vision
•
Sensor fusion and real-time control systems
•
Embedded systems and industrial communications
•
Electronics and automation architectures
•
Hands-on experience with LiDAR, radar systems, AI cameras, GPS/RTK positioning, and industrial communication protocols.
•
Strong leadership, project coordination, and technical decision-making capabilities.
•
Excellent troubleshooting, analytical, and communication skills.
•
Experience in robotics, automotive autonomy, drones, industrial automation, or electric mobility is considered a strong advantage.
Hiring process
if you interested please share your CV[email protected]
Benefits
What We Offer:
· Competitive salary and benefits package
· Opportunity to work on innovative and sustainable projects
· Supportive and growth-oriented work environment
· Exposure to international standards and advanced technologies