Robotics Validation Engineer

Who you are

• Proficiency in Python or C++, especially for scripting and data analysis
• 1-2 years of experience in test automation or robotics or both!
• Familiarity with Linux-based development and testing environments
• Strong communication skills and attention to detail, especially in technical writing and documentation
• Comfort with robotics experimentation and troubleshooting in resource-constrained and real-time systems
• Experience with ROS1 or ROS2, rviz, and associated developer tools
• Exposure to Docker and containerized workflows
• Familiarity with robotics simulators (e.g., Gazebo, Isaac Sim)
• Exposure to cloud or CI tooling (e.g., GitLab runners, AWS, GCP) for experiment execution and test data storage
• Experience working with data aggregation and slicing, or tools like InfluxDB, Pandas, or Jupyter

What the job involves

• We're looking for a hands-on engineer to support the testing and validation of mobile robotic systems
• This role focuses on executing and automating tests—both in simulation and on real robots—to verify system behavior under real-world constraints
• You'll contribute to establishing robotic performance benchmarks and evaluating how navigation, perception, and control systems perform under varying conditions, and report and summarize findings that shape future development and ensure product quality
• Design and maintain automated test pipelines for simulation and hardware-in-the-loop (HIL) testing
• Collect and process log data to assess system behavior and reliability
• Support the manufacturing team to develop, implement, and maintain End-of-Line tests
• Develop and execute experiments—both in simulation and on physical robots—including failure case reproduction, performance benchmarking, and validation scenario authoring
• Execute test plans developed by engineering and product teams for system-level validation
• Assist in debugging issues encountered during testing across the autonomy stack (e.g. navigation, controls, perception)
• Improve test observability through metrics, dashboards, and structured reporting