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

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• PhD/Master's/bachelor'sdegree in Robotics, Computer Science, Electrical Engineering, or relatedfields.
• 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 algorithmssuch as A*, RRT, RRT*, and graph-based planners for indoor environments.
• Design robust control strategies including PID, ModelPredictive Control (MPC), and learning-based controllers for smooth andaccurate trajectory execution.
• Integrate localization, obstacle avoidance, andpath-following into a unified navigation pipeline. 
• Utilize ROS/ROS2 for developing modular and scalablenavigation 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, depthcameras, IMUs, and wheel encoders to enhance localization and controlprecision.
•  Collaborate with perception, systems engineering, andhardware teams for seamless system-level integration.
•  Implement drive-by-wire and safety layers for electricforklift platforms, adhering to industry-standard functional safety principles(e.g., ISO 26262).
•  Contribute to architecture design, code reviews, andhigh-quality documentation for long-term maintainability.

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• Master's / Bachelor's degree in Robotics, Computer Vision, Electrical Engineering, or related field.
• 1–4 years of 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; 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.
• 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/Electronic 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.

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