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python ci/cd slam gazebo ros2📋 Description
- Evolve replay, simulation-in-the-loop, and HIL tests to validate perception and SLAM.
- Drive test automation by building validation frameworks for fast, high-quality releases.
- Own quality by defining standards, regression criteria, and validation gates.
- Improve diagnosability and debugging workflows to reduce field resolution time.
- Improve CI/CD pipelines and dataset validation for scalable checks.
- Maintain testing facilities and participate in validation/data collection campaigns.
🎯 Requirements
- Excellent QA and automated testing for complex, distributed systems.
- Excellent C++ and Python skills with clean, testable software design.
- Experience designing replay-based or data-driven validation pipelines.
- Ability to analyze complex system failures and improve observability and debugging.
- Familiar with Linux, Git workflows, and CI/CD pipelines.
- Experience with issue tracking, test management tools, and regression metrics.
- Engineering or science degree in CS, robotics, or related field.
🎁 Benefits
- Experience testing robotic perception, localization, or SLAM in simulation and real-world setups.
- Experience with ROS2, robotics sensors (cameras, lidars, IMUs) and failure modes.
- Experience with robotic simulators (Gazebo, Isaac Sim) and their sensor behavior limits.
- Experience validating ML models or using ML evaluation frameworks.
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