Quality Assurance Engineer - Paya Lebar - Certis

Description

Role Summary

We 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.

Responsibilities

Test strategy and quality ownership

• Define 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 engineering

• Navigation, 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 tooling

• Build 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 qualifications

• 3+ 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 qualifications

• Experience 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.