As an Engineer specializing in path planning and controls, you will drive the design and implementation of state-of-the-art algorithms for autonomous roboticsystems, including next-generation products in autonomous mobile robotics. Youwill contribute to all stages of research and product development—from conceptto deployment—ensuring cutting-edge performance and reliability in real-worldapplications such as warehouse/factory automation and robot fleets.

‍

‍

• PhD/Master's/Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or related fields.
• Programming: Proficiency in C, C++, and/or Python on Linux platforms.
• Simulation & Testing: Experience with simulation tools (e.g., Gazebo, Carla), real-time data logging, and hardware-in-the-loop setups.
• Develop and implement advanced motion planning algorithms such as A*, RRT, RRT*, and graph-based planners for indoor environments.
• Design robust control strategies including PID, Model Predictive Control (MPC), and learning-based controllers for smooth and accurate trajectory execution.
• Integrate localization, obstacle avoidance, and path-following into a unified navigation pipeline.
• Utilize ROS/ROS2 for developing modular and scalable navigation stacks.
• Simulate navigation scenarios using tools like Gazebo, CARLA, or Webots and validate performance using real robot platforms.
• Fuse data from multiple sensors including LiDAR, depth cameras, IMUs, and wheel encoders to enhance localization and control precision.
• Collaborate with perception, systems engineering, and hardware teams for seamless system-level integration.
• Implement drive-by-wire and safety layers for electric forklift platforms, adhering to industry-standard functional safety principles (e.g., ISO 26262).
• Contribute to architecture design, code reviews, and high-quality documentation for long-term maintainability.

‍

• Ph.D. or master's degree in Robotics, Computer Vision, Electrical Engineering, or related field.
• 8–12 years of demonstrated experience in developing and deploying navigation and controls systems for robots.
• Strong proficiency in programming languages such as Python, C/C++.
• Hands-on knowledge of data structures and algorithms for point cloud processing and familiarity with ROS/ROS2.
• Strong understanding of kinematics/dynamics of wheeled robots and control theory.
• Familiarity with embedded control hardware, motor drivers, and mechatronic interfaces.
• Hands-on experience with 3D cameras and LiDARs for perception integration with navigation.
• Strong communication and leadership skills.
• Passion for robotics and a desire to push the boundaries of technology.
• Bachelor’s or master's degree in Robotics, Computer Science, Electrical/Electronics Engineering, or related fields.

• Collaborative and innovative work environment.
• Opportunities for professional development and continued education.
• Comprehensive health and wellness benefits.
• Competitive salary with performance-based bonuses.

Text link