Role SummaryWe are hiring a Robotics QA Engineer to establish and run end-to-end quality practices for real-world robotics systems deployed in public and shared spaces. You will validate robotic autonomy (navigation/localization), manipulation behaviours, human robot interaction, and AI perception and agent components - ensuring releases are safe, reliable, and measurable across hardware and environments.This role requires both breadth (robotics + AI + systems) and depth (building repeatable test methods, automation, and rigorous acceptance criteria). You will work closely with robotics engineers, AI engineers, and deployment teams.ResponsibilitiesTest strategy and quality ownershipDefine a comprehensive test strategy across simulation, lab, and field environments.Establish release gates and acceptance criteria for autonomy, manipulation, robotics behaviour, and AI model updates.Own defect triage workflow: reproduce issues, isolate root causes with logs/telemetry, and drive closure.Robotics validation and test engineeringNavigation, Manipulation，Human Robot Interaction: Design and execute test scenarios, and task success metrics; build test datasets; validate safety behaviours; establish repeatable site-acceptance checklists and regression suites.AI/ML models and Agents: Define evaluation protocols; validate agent/planner behaviour; support model release governance.Automation and toolingBuild automated test harnesses, CI-integrated regression tests, and reproducible test environments.Develop tooling for log capture, event replay, labelling for failure analysis, and metrics dashboards.Required qualifications3+ years in QA/test engineering for autonomous systems, embedded systems, or AI-heavy products.Strong understanding of autonomous systems and failure modes: sensors, localization, navigation, motion control, and safety behavior.Hands-on experience building test automation in Python and/or C++.Proven ability to design rigorous test plans to debug cross-disciplinary issues.Experience with Linux environments, networking basics, and hardware integration troubleshooting.Strong communication skills: can write precise test reports and collaborate effectively with engineers.Preferred qualificationsExperience with ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim, Mujoco), hardware-in-the-loop test setups.Experience with voice/NLP or multi-modal interaction systems (ASR/TTS latency, intent routing, noisy environment testing).Experience with model evaluation pipelines (dataset splits, regression testing).Familiarity with safety or compliance practices for robots operating around people (risk analysis, operational constraints).Experience building debug pipelines: telemetry, log aggregation, incident replay.