Autonomous Systems Engineer

6 days ago


Singapore PERSOLKELLY SINGAPORE PTE. LTD. Full time

About the Company:

PERSOLKELLY SINGAPORE PTE. LTD. is a leading provider of innovative solutions in robotics and artificial intelligence.

We are seeking an experienced Senior/ SLAM Engineer to join our team and contribute to the development of cutting-edge autonomous navigation systems.

The ideal candidate will have a strong background in robotics, computer science, or a related field, and will be able to design and implement advanced algorithms for robot navigation.

The successful candidate will work closely with our cross-functional teams to ensure the safe and reliable operation of our robots in dynamic environments.

  • Design and Implement Algorithms: Design and implement advanced algorithms for robot navigation, ensuring path planning aligns with operational goals such as energy efficiency, speed, and safety.
  • Develop Docking Strategies: Develop and optimize docking strategies to achieve fast and accurate docking performance.
  • Create Real-Time Software Solutions: Create real-time software solutions for autonomous navigation, leveraging sensor data from LiDAR, cameras, and other perception systems.
  • Implement Obstacle Detection and Avoidance: Design and implement lightweight, real-time algorithms for obstacle detection and avoidance.
  • Tune Navigation and Docking Algorithms: Fine-tune navigation and docking algorithms to align with hardware capabilities and performance requirements.
  • Integrate Software Components: Build software bridges to enable seamless communication between different software components.

Requirements:

  • Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related discipline, with over three years of industry experience.
  • Proficiency in programming languages such as C++ and Python, along with hands-on experience using ROS (Robot Operating System).
  • Proven expertise in autonomous robot navigation, covering path planning, obstacle avoidance, and docking strategies.
  • Solid understanding of motion planning algorithms and techniques, such as A*, D*, RRT, and SLAM.
  • Familiarity with real-time systems, control theory, and optimization techniques.
  • Strong grasp of robot kinematics and dynamics, and their impact on navigation and control systems.
  • Experience with Test-Driven Development (TDD) practices.


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