Robotics Software Engineer -Dual Arm

Optimal Inc.

$90K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Robotics, Computer Science, Software Engineering, Electrical Engineering, or related field.
  • Hands-on experience developing robotics applications using ROS 2 and its core concepts.
  • Deep understanding of kinematics and dynamics, with practical experience using MoveIt 2 for motion planning.
  • Solid background in 3D computer vision and point cloud processing (PCL, OpenCV).
  • Strong proficiency in modern C++ and Python programming.

Responsibilities

  • Lead the design and implementation of a dual-arm control architecture using ROS 2.
  • Define interfaces and APIs for motion planning and gripper management.
  • Develop and deploy advanced motion planning and manipulation algorithms with MoveIt 2 for dual-arm coordination.
  • Configure kinematic models and maintain planning scenes for multiple robot arms.
  • Design and integrate 3D perception pipelines for object detection and scene understanding.
  • Write clean, production-quality C++ and Python code within the ROS 2 ecosystem.
  • Establish CI/CD pipelines, conduct code reviews, and maintain documentation.
Full Job Description
Job Summary:

We are seeking a highly skilled and motivated Robotics Software Engineer to lead the development of a next-generation dual-arm, ROS 2-based manipulation system capable of operating with multiple grippers in a flexible automation environment.

In this role, you will be responsible for architecting and implementing a robust, scalable ROS 2 software stack that coordinates two robotic arms and enables advanced motion planning and 3D perception for complex manipulation tasks. You will own the end-to-end software lifecycle: from high-level architecture and simulation, down to real-time integration with industrial robot controllers, and 3D vision sensors.

Key Responsibilities

System Architecture (ROS 2 Dual-Arm)

Lead the design and implementation of a ROS 2-based dual-arm control architecture (nodes, topics, services, actions, lifecycle) that supports coordinated and independent arm motions.
Define interfaces and APIs for motion planning, perception, and gripper/tool management.
Motion Planning & Coordination

Develop, tune, and deploy advanced motion planning and manipulation algorithms using MoveIt 2 for dual-arm coordination (bimanual tasks, handovers, collision-aware trajectories).
Configure and maintain the kinematic models, planning scenes, and controllers for multiple robot arms and end-effectors.
Ensure safe, efficient trajectory generation in cluttered and dynamic environments.
Perception Pipeline Integration

Design and integrate 3D perception pipelines (point clouds, depth maps, 3D sensors such as Photoneo PhoXi, RealSense, ZED) for robust object detection, pose estimation, and scene understanding.
Fuse perception outputs with the planning scene to enable dual-arm, multi-gripper manipulation strategies (e.g., grasp selection, re-grasping, handover).
Software Development & DevOps

Write clean, efficient, production-quality C++ and Python code within the ROS 2 ecosystem (ament, colcon, ros2_control, MoveIt 2 plugins).
Establish and maintain CI/CD pipelines, code reviews, unit/integration tests, and documentation for the dual-arm system.

Required Qualification:

Master's degree in Robotics, Computer Science, Software Engineering, Electrical Engineering, or a related field.
ROS 2 Expertise: Proven, hands-on experience developing complex robotics applications using ROS 2 and its core concepts (Nodes, Topics, Services, Actions, lifecycle management).
Motion Planning: Deep understanding of kinematics, dynamics, and motion planning frameworks, with extensive hands-on experience using MoveIt 2.
Perception: Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks.
Programming Skills: Strong proficiency in modern C++ and Python.
System Integration: Experience interfacing with industrial robots and 3D vision hardware (e.g., RealSense, ZED).

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