Navigation & Control Engineer

Neara; Singapore; On-site; SGD 76,599 - 114,898; Full time

Job summary

Neara in Singapore is looking for a Navigation & Control Engineer to develop advanced planning, behavior, and control strategies for autonomous cleaning robots. Ideal candidates will possess a Bachelor's or Master's in CS or Robotics, proficient skills in C++ and Python, and experience with ROS1/ROS2. Key responsibilities include designing behavior tree architectures, developing planning algorithms, and real-time system optimization. The role offers an opportunity to innovate in robotics within a dynamic company environment.

Qualifications

• Bachelor's or Master's degree in CS, Robotics, or a related field (or PhD with relevant focus).
• Fresh graduates are welcome to apply.
• Proficient in C++ and Python development on Linux.
• Experience working with ROS1/ROS2 is necessary.

Responsibilities

• Design and implement modular behavior tree architectures for complex decision-making.
• Develop global planning algorithms for dynamic environments.
• Design local planners for smooth and safe robot motion.
• Optimize systems to ensure real-time performance.
• Collaborate with SLAM and Perception engineers.
• Develop test cases for validating algorithms.
• Explore advanced planning and control methods.

Skills

C++ development

Python development

ROS1/ROS2

Data structures and algorithms

Robotics knowledge

Behavior planning frameworks

Path planning algorithms

Sensor modalities

Problem-solving skills

Education

Bachelor’s or Master’s degree in CS, Robotics, or related field

PhD with relevant focus

Job description

Navigation & Control Engineer

Job type: Full Time · Department: Engineering (R&D) · Work type: On-Site

Singapore, Singapore

We are seeking a talented Software Engineer to drive the development of advanced behavior, planning, and control strategies for our global fleet of autonomous cleaning robots. This role is ideal for an engineer passionate about robotics, algorithm development, and system integration. You will work on planning, real-time decision making and implement features such as multi-floor navigation and docking control systems. You will also work with other engineers to develop robust testing pipelines, aimed at ensuring quality and reliability of our robots.

Key Responsibilities

• Design and implement modular behavior tree architectures for complex and robust robot decision-making.
• Develop and optimize global planning algorithms (A*, D*, RRT*, PRM, etc.) for dynamic environments.
• Design and tune local planners and controllers for smooth and safe robot motion (e.g. MPC, TEB, DWA).
• Optimize planning and control systems to ensure real-time system performance, including timing guarantees for control loops.
• Collaborate with SLAM and Perception engineers to align navigation with perception, mapping.
• Develop comprehensive test cases for validating algorithms and software in both simulated and real-world environments, to ensure reliable performance.
• Maintain comprehensive documentation of all code implementations and test cases.
• Explore advanced planning and control methods for real-world deployment (e.g., reinforcement learning-based planning).

Qualifications & Experience

• Bachelor’s or Master’s degree in CS, Robotics, or a related field (or PhD with relevant focus)
• Fresh graduate are welcome to apply
• Proficient in C++ and Python development on Linux.
• Experience working with ROS1 / ROS2.
• Solid foundation in data structures, algorithms, kinematics, dynamics, and control theory.
• Strong understanding of robot dynamics, kinematics, and control theory.
• Hands-on experience with behavior planning frameworks (e.g. BehaviorTree.CPP).
• Strong understanding of global and local path planning algorithms.
• Familiarity with sensor modalities (e.g. LiDAR, RGBD cameras, IMUs).
• Strong attention to detail, with excellent problem-solving and debugging skills.
• Experience with reinforcement learning applied to behavior, planning or control is a bonus.
• Experience with optimizing software for embedded hardware (e.g., Jetson, ARM) is a bonus.

If you have a passion for driving meaningful operational improvements, excel at analytical problem-solving, and thrive in a dynamic scaleup atmosphere, we invite you to join LionsBot and help shape the future of robotics innovation.