Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)
Description For Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)
Talentsis is seeking a Principal AI Engineer specializing in Unmanned Autonomous Systems. This role combines advanced robotics, AI, and autonomous systems development, requiring expertise in both hardware and software integration. The position involves designing and implementing sophisticated algorithms for autonomous navigation, perception systems, and multi-agent coordination. The ideal candidate will have advanced degrees in relevant fields and significant experience in autonomous systems development. They will work on cutting-edge technology, integrating complex systems including flight controllers, sensor fusion, and AI-driven decision-making capabilities. This role offers the opportunity to work with interdisciplinary teams and contribute to advancing the field of autonomous robotics. The position requires both theoretical knowledge and hands-on implementation skills, making it ideal for someone with both academic excellence and practical engineering experience. Based in Singapore, this role represents a unique opportunity to work at the intersection of AI, robotics, and autonomous systems, developing next-generation solutions for unmanned systems.
Responsibilities For Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)
- Design and integrate complex mechanical, electrical, and software components for autonomous robotic systems
- Develop and implement advanced algorithms for navigation, obstacle avoidance, and coordinated mission execution
- Create multi-modal perception systems using sensor fusion for environmental mapping and object recognition
- Integrate flight controllers and autopilot systems into system architectures
- Conduct system-wide debugging, integration testing, and performance tuning
- Develop methodologies for fault detection, redundancy, and failure recovery
- Optimize overall system performance and energy efficiency
- Collaborate with interdisciplinary teams
- Prototype, test, and iterate on novel autonomous capabilities
Requirements For Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)
- Master's or PhD in Robotics, Mechanical Engineering, AI, or a closely related field
- 3+ years of hands-on experience in autonomous systems development or equivalent R&D experience
- Proficiency in C++ and Python; experience with ROS is a plus
- Strong background in sensor fusion, SLAM, and multi-agent coordination
- Demonstrated experience with flight controllers or autopilot systems
- Postdoctoral research experience in robotics, autonomous systems, or related fields (preferred)
- Experience with AI-driven decision-making and learning-based autonomy (preferred)
- Proficiency in simulation platforms (preferred)
- Strong publication record in robotics, AI, or autonomous systems research (preferred)
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