Senior Software Engineer – Robotics Navigation

1 week ago

Singapore HIVEBOTICS PTE. LTD. Full time $120,000 - $180,000 per year
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) .

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