Robotics QA Engineer (ROS, Gazebo, Python & Jira)
About MOV.AI
MOV.AI is a robotics software company developing an autonomy platform for the next generation of Autonomous Mobile Robots (AMRs), operating in large-scale industrial and logistics environments. The platform enables fleets of robots to navigate, localize, and operate reliably in complex real-world environments, ranging from international airports to large warehouse operations.
Role Summary
MOV.AI is looking for a Robotics QA Engineer responsible for validating the quality, reliability and safety-related behaviour of its Autonomous Mobile Robot (AMR) software platform.
The role combines expertise in:
- Robotics Software Testing
- Simulation-Based Validation
- ROS-Based Test Automation
- Test Management & Traceability
- Failure Analysis & Root Cause Investigation
- Structured Quality Processes
- Release Validation
The engineer will work closely with the Robotics, Backend, Frontend and DevOps teams.
This is not a traditional manual QA position or a web application testing role. The ideal candidate understands robotic systems, simulation environments, system interactions and software validation in complex environments.
Candidate Profile
1. Robotics QA Engineer
The ideal candidate should:
- Understand how robotic software behaves in both real and simulated environments.
- Think in terms of robot behaviour, state machines, navigation flows and sensor interactions.
- Validate complete robotic workflows rather than isolated software functions.
- Distinguish between software defects, configuration issues and environmental conditions.
Candidates with only web application testing experience are unlikely to be a good fit.
2. Simulation-Based Validation
The candidate should have experience with simulation environments and understand both their capabilities and limitations.
Expected experience includes:
- Gazebo / Ignition Gazebo
- Simulation-based validation
- Robot localisation
- Navigation
- Sensor interactions
- Obstacle avoidance
The engineer should be capable of:
- Creating realistic testing scenarios.
- Reproducing complex software defects.
- Validating behaviour across software releases.
- Translating customer issues into automated simulation tests.
3. Quality Engineering
The role requires a structured approach to quality assurance.
Expected knowledge includes:
- Test Plans
- Test Cases
- Regression Testing
- Release Validation
- Defect Tracking
- Traceability
- Validation Processes
The ideal candidate should be comfortable documenting complex test scenarios and maintaining large regression test suites.
4. Hands-on Problem Solver
The engineer should:
- Develop Python-based automated tests.
- Investigate software failures directly.
- Analyse ROS Bags, application logs and diagnostic outputs.
- Work closely with developers to reproduce and isolate defects.
Approximately 70% of the role consists of hands-on validation and automation work.
The company is not looking for candidates who only execute predefined manual test scripts.
Required Skills
Robotics & ROS
Strong knowledge of:
- ROS1 and/or ROS2
- Topics
- Services
- Actions
- Parameters
- Robot State Monitoring
- ROS Debugging
- Navigation Concepts
- Localisation
- Robotics Software Systems
Python Automation
Experience with:
- Python
- Automated Test Development
- Test Script Development
- Data Extraction
- Result Analysis
- rospy
- rclpy
Simulation
Experience using:
- Gazebo
- Ignition Gazebo
- World Configuration
- Model Spawning
- Scenario Execution
- Headless Simulation
- Simulation-Based Regression Testing
Test Management
Knowledge of:
- Jira
- Xray
- Zephyr
- Test Planning
- Test Execution
- Defect Management
- Verification Traceability
Software Quality Engineering
Experience with:
- Test Case Design
- Regression Testing
- Exploratory Testing
- Root Cause Analysis
- Defect Reporting
- Release Validation
Nice-to-Have Skills
Previous experience with:
Robotics
- Autonomous Mobile Robots (AMRs)
- AGVs
- Fleet Management Systems
- VDA 5050
- Robotics Safety
- Obstacle Avoidance Validation
- Localisation Validation
- SLAM Validation
- Sensor Fusion
DevOps & Infrastructure
- CI/CD Integration Testing
- GitHub Actions
- Docker
- Kubernetes
- Linux Debugging
Additional Testing
- Performance Testing
- Hardware-in-the-Loop Testing
- Cybersecurity Testing
- Playwright
- API Testing
Responsibilities
The successful candidate will:
- Validate robot behaviour in simulation environments.
- Develop Python-based automated validation scripts.
- Execute and maintain regression test suites.
- Verify navigation, localisation, obstacle avoidance and safety-related functionality.
- Interact directly with ROS Topics, Services and Actions during testing.
- Analyse ROS Bags, application logs and simulation outputs.
- Investigate defects and perform root cause analysis.
- Maintain structured test repositories and Jira test cycles.
- Map software releases against validation coverage and test results.
- Collaborate with Robotics, Backend and QA teams to continuously improve product quality.
- Support release readiness assessments.
Deal Breakers
Candidates will not be considered if they:
- Have no robotics software experience.
- Have no knowledge of ROS.
- Have no Python programming skills.
- Have no experience with test automation.
- Have no experience managing tests with Jira.
- Have no simulation experience.
- Have only a manual QA background.
- Cannot investigate technical failures independently.
- Have no interest in working directly with robotic systems.
Reporting Line
The role reports to the QA Team Lead and works closely with:
- Robotics Software
- Backend
- DevOps
- Product
The engineer will provide quality feedback throughout the software development lifecycle.
Compensation
- Gross annual salary: €40,000 to €55,000
- Paid over: 14 monthly salaries.
- Candidates with strong expertise in robotics validation and test automation may be offered a higher compensation package.
