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4 days ago
About the RoleWe're seeking an experienced Robotics Simulation Specialist to lead the development of high-fidelity simulation environments for industrial robotic manipulators.This role bridges the gap between virtual validation and real-world industrial automation. Our ideal candidate will have a strong background in robotics, simulation software, and programming languages like Python.Key Responsibilities:Architect and design complex simulation environments for robotic manipulators using industry-standard platforms like Isaac Sim.Develop and validate motion planning algorithms, trajectory optimization, and path planning strategies for multi-axis industrial robots in simulated manufacturing cells.Own the simulation testing strategy — design comprehensive experiment frameworks to validate manipulator behavior across varying payloads, reach envelopes, and cycle time requirements.Create digital twins of industrial workcells including robot arms, fixtures, conveyors, and sensors to enable virtual commissioning and offline programming.Drive automation initiatives — build and maintain robust testing pipelines, integrate simulation seamlessly into CI/CD workflows, and establish best practices for the team.Required Skills and QualificationsOur ideal candidate will possess the following skills and qualifications:5+ years of professional experience in robotics simulation, with specific focus on robotic manipulators and industrial automation.Familiarity with industrial robot programming languages (KRL, RAPID, LS, URScript) and robot controller interfaces.Expert-level Python programming with proven ability to write maintainable, performant code for complex robotic systems.Deep expertise with ROS/ROS 2 architecture, including MoveIt for motion planning, custom node development, and system integration.Production experience with simulation platforms (Isaac Sim, Gazebo, or equivalent) for manipulator validation in real-world robotics projects.Strong theoretical foundation in manipulator kinematics (forward/inverse), dynamics, Jacobians, singularity analysis, and trajectory planning.Understanding of industrial automation concepts: PLC integration, safety systems, I/O protocols (EtherNet/IP, PROFINET, EtherCAT).Bonus SkillsAdvanced 3D modeling and CAD skills (SolidWorks, Fusion 360, Blender) including URDF/SDF creation for robot arms and tooling.Machine learning integration in simulation — reinforcement learning for manipulation tasks, sim-to-real transfer, or synthetic data generation for vision systems.
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