Robotics Software Engineer Jobs

About The Position

Requirements

• B.S. or M.S. in Robotics, Computer Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical field.
• 5+ years of experience in robotics testing/validation, systems integration, or reliability engineering for deployed robotic or mechatronic systems.
• Demonstrated experience with HIL concepts and building closed-loop test setups for embedded and/or robotic systems.
• Strong software automation skills in Python and/or C++ , including the ability to build test harnesses, dashboards, and regression gates.
• Experience with simulation and/or log replay techniques for reproducible testing, scenario coverage, and debugging.
• Proven documentation and communication skills , including the ability to turn complex system behavior into clear test requirements, acceptance criteria, and engineering actions.

Nice To Haves

• Familiarity with industrial robot safety standards and safety-related control system concepts .
• Hands-on ROS 2 testing experience (e.g., integration testing patterns, launch_testing, multi-node validation).
• Experience validating full perception–planning–control stacks , beyond unit-level testing, including system-level performance and robustness.
• Experience defining and applying acceptance criteria for plant deployment readiness , including performance, reliability, and maintainability thresholds.
• Experience working in cross-functional environments with AI/ML, controls, perception, and systems engineering teams to deliver production-grade robotic solutions.

Responsibilities

• Design and implement end-to-end validation frameworks spanning simulation-driven testing and HIL testbeds for controllers, sensors, and actuators.
• Define, instrument, and operationalize measurable KPIs for manipulation performance (e.g., grasp/pick success rate, drop rate, recovery success, cycle-time distributions) and ensure consistent computation across environments.
• Build and maintain regression testing pipelines using reproducible playback (e.g., logged data replay) and automated scenario suites to detect performance drift across software and model updates.
• Develop integration and system tests for multi-node robotics systems, including launch-based testing patterns, test harnesses, and CI-ready execution.
• Establish safety monitoring and compliance-aware validation hooks appropriate for industrial robotics deployments (e.g., risk-based testing, protective stop behaviors, fault monitoring).
• Lead cross-functional failure reviews with AI, planning, controls, and data engineering teams and drive issues to closure (reproduce → isolate → mitigate → prevent recurrence).
• Create clear documentation, dashboards, and reports that translate system behavior and test outcomes into actionable engineering requirements and decisions.