Job Summary:

We are seeking a highly skilled Senior Software Engineer - Robotics Navigation to lead the development of the autonomous navigation stack for our Mecanum-wheeled toilet-cleaning robot. The ideal candidate will have deep expertise in SLAM, path planning, obstacle avoidance, and safety-critical navigation in dynamic environments. You will architect and optimize real-time navigation algorithms in C++, leveraging ROS 2, behavior trees, and modern software engineering practices.

Key Responsibilities:

• Design, develop, and optimize the navigation stack (localization, SLAM, path planning, obstacle avoidance) for a Mecanum-wheeled robot in constrained environments.
• Implement sensor fusion (LiDAR, IMU, vision, wheel odometry) for robust pose estimation and dynamic obstacle avoidance.
• Develop safety-critical interrupt handling for emergency stops, collision prevention, and recovery behaviors.
• Architect scalable ROS 2-based navigation software with behavior trees for task-level decision-making.
• Optimize real-time performance of navigation algorithms (e.g., DWA, RRT , A ) in C++.
• Integrate hardware interrupts (e.g., bump sensors, safety lidars) into the navigation system.
• Collaborate with manipulation & vision teams to ensure seamless coordination between navigation and cleaning operations.
• Conduct field testing and iterate on navigation robustness in real-world environments.
• API Development:Design REST/gRPC APIs to interface with 3rd-party UI dashboards (e.g., fleet management, real-time monitoring).
  Integrate with cloud services (AWS IoT Core, Azure Robotics) for telemetry logging, over-the-air (OTA) updates, and remote diagnostics.
• Low-Level Driver Development:Develop and optimize motor controller drivers (e.g., CAN bus, UART, PWM for Mecanum wheels).
  Interface with microcontrollers (STM32, ESP32) for real-time sensor data acquisition (e.g., Bumpers, ToF sensors).
• Collaborate with embedded engineers to ensure low-latency communication between navigation and motor control systems.

Required Skills & Qualifications:

• PhD/MS in Robotics, Computer Science, or related field.
• 5+ years of experience in robotics navigation (SLAM, path planning, obstacle avoidance).
• Expert in C++, ROS 2, and modern software architecture (OOP, design patterns).
• Strong background in LiDAR-based SLAM (e.g., SlamToolBox, Nav2) and path planners(e.g., LatticeSMAC, MPPI)
• Experience with behavior trees (e.g., Groot, BehaviorTree.CPP) for task management.
• Knowledge of sensor fusion (Kalman filters, particle filters) and wheel odometry tuning.
• Familiarity with Mecanum wheel kinematics and holonomic motion planning.
• Experience with real-time systems and safety-critical software.
• Bonus: Experience with embedded systems (STM32, Raspberry Pi, Nvidia Jetson).
• Experience with API development (REST/gRPC, WebSockets) for cloud/UI integration.
• Hands-on experience with motor controllers (RoboteQ, ODrive, VESC) and communication protocols (CAN, SPI, I2C).
• Prior work on autonomous mobile robots (AMRs).