Senior Software Engineer – Robotics Manipulation

2 weeks ago

Central Region, Singapore Hivebotics Pte Ltd Full time $120,000 - $180,000 per year

We are looking for a Senior Software Engineer – Robotics Manipulation & Vision to lead the development of the manipulation system for our autonomous mobile manipulation robot. The role involves motion planning, grasp planning, vision-guided manipulation, and safety-critical control of robotic arms and end-effectors. You will work closely with the navigation and perception teams to ensure seamless robot-environment interaction.

Key Responsibilities:

  • Design and implement robotic manipulation pipelines using MoveIt, ROS 2, and C++.
  • Develop vision-guided manipulation (eg., object detection and pose estimation) for detecting shapes of toilets and sinks
  • Optimize path planning (OMPL, STOMP) for collision-free arm motions in tight spaces.
  • Implement force-torque control and compliant motions for safe interaction with surfaces.
  • Architect behavior tree-based task execution for manipulation workflows (e.g., "pick tool → scrub → retract").
  • Integrate safety monitors (e.g., torque limits, emergency stops) into the manipulation stack.
  • Work with embedded teams to ensure low-latency communication between manipulators and sensors.
  • Conduct real-world testing in fields and refine manipulation robustness.
  • Create APIs to interface with 3rd-party UI dashboards
  • Low-Level Driver Development:
  • Write custom drivers for actuators (servos, linear motors) and end-effector tools (suction pumps, spray nozzles).
  • Interface with microcontrollers (Arduino, STM32) for real-time sensor feedback (force-torque, proximity sensors).

Required Skills & Qualifications:

  • PhD/MS in Robotics, computer science or equivalent domain.
  • 5+ years in robotic manipulation (industrial arms, mobile manipulators).
  • Expertise in MoveIt, ROS 2, and motion planning (experienced with MoveIt Pro will be a great plus).
  • Strong C++ skills with experience in real-time robotic control.
  • Background in computer vision (OpenCV, PyTorch, YOLO) for object detection/grasping.
  • Experience with end-effector tooling (grippers, suction systems, cleaning attachments).
  • Knowledge of force control and compliant manipulation strategies.
  • Familiarity with behavior trees for task sequencing.
  • Bonus: Experience with 6/7-DoF arm kinematics (URDF, IK solvers).
  • Prior work with manipulators(eg., KUKA, kinova, UR, Franka)

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