Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)

Talentsis; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A robotics company in Singapore is seeking a skilled Robotics Engineer to lead the development of autonomous robotic systems. The ideal candidate has a Master’s or PhD in Robotics or related fields, along with at least 3 years of experience in autonomous systems development. Proficiency in C++ and Python is essential, with additional experience in sensor fusion and flight controllers being a plus. This role involves close collaboration with interdisciplinary teams to ensure high-performance solutions.

Qualifications

• 3+ years of hands-on experience in autonomous systems development or equivalent R&D experience.
• Strong background in sensor fusion, SLAM, and multi-agent coordination.
• Demonstrated experience with flight controllers or autopilot systems in robotic platforms.

Responsibilities

• Design and integrate complex mechanical, electrical, and software components for robotic systems.
• Develop algorithms for navigation and obstacle avoidance.
• Conduct system-wide debugging, integration testing, and performance tuning.

Skills

C++

Python

Sensor Fusion

SLAM

Multi-agent Coordination

Education

Master’s or PhD in Robotics, Mechanical Engineering, AI, or a closely related field

Tools

ROS

AirSim

Gazebo SITL with PX4

CoppeliaSim

Job description

Responsibilities

• 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 (e.g., LiDAR, cameras, IMUs) for environmental mapping and object recognition.
• Integrate flight controllers and autopilot systems (e.g., PX4) into system architectures to ensure seamless communication and control.
• Conduct system-wide debugging, integration testing, and performance tuning in both simulation (e.g., AirSim, Gazebo SITL with PX4) and real-world environments.
• Develop methodologies for fault detection, redundancy, and failure recovery to enhance system reliability.
• Optimize overall system performance and energy efficiency for extended operations under dynamic conditions.
• Collaborate with interdisciplinary teams (AI researchers, control engineers, hardware designers) to ensure seamless system functionality.
• Prototype, test, and iterate on novel autonomous capabilities in simulation and field environments.

Required Qualifications

• 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 (strong research records from PhD candidates are encouraged).
• 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 (e.g., PX4) in robotic platforms is highly desirableli>

Preferred Qualifications

• Postdoctoral research experience in robotics, autonomous systems, or related fields.
• Experience with AI‑driven decision‑making and learning‑based autonomy.
• Proficiency in simulation platforms (e.g., AirSim, Gazebo SITL with PX4, CoppeliaSim) and rapid prototyping.
• A strong publication record in robotics, AI, or autonomous systems research.