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This is a project-based employee role supporting the verification, validation, and readiness of our autonomous vehicle platforms. Development phases of this nature typically span through project completion (typically 2–4 years), though scope and duration are driven by business needs.
Job Responsibility
Define and lead portfolio-level validation strategies for robotic and autonomous systems
Collaborate with program managers, systems engineers, software engineers, and mechatronics teams to understand system concepts of operation and design intent
Develop scalable test architectures that support verification across component, subsystem, and full-system integration levels
Design and oversee structured test plans, test suites, and data collection strategies for integrated robotic systems
Establish instrumentation strategies and testing methodologies that measure performance, reliability, safety, and durability
Analyze test data and system performance metrics to identify trends, root causes, and readiness risks
Ensure traceability between system requirements, test plans, results, and safety or certification objectives
Lead readiness reviews and provide data-driven recommendations on system performance and risk mitigation
Establish scalable data analysis methods and reporting standards for validation activities
Contribute to the development of automated testing frameworks using tools such as Python or C++
Support development of validation environments including hardware-in-the-loop, software-in-the-loop, and simulation-based testing
Serve as a technical advisor on system validation strategy, safety compliance, and system readiness
Requirements
Bachelor's degree in Robotics Engineering, Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related field
10+ years of experience in verification, validation, systems integration, or related engineering roles
Demonstrated experience defining large-scale validation strategies and system-level testing frameworks
Strong understanding of systems engineering principles, requirements traceability, and development lifecycles
Experience designing structured test plans and data collection methodologies for complex systems
Proficiency with Python, C++, or similar scripting languages used in test automation
Experience with version control systems such as Git
Familiarity with requirements and test management tools such as Jira, JAMA, or similar platforms
Strong analytical, troubleshooting, and problem-solving abilities
Ability to lead cross-functional validation initiatives and communicate technical findings clearly
Nice to have
Master's degree in Engineering or a related discipline
Experience working with robotics or autonomous vehicle systems
Familiarity with ROS or ROS2 frameworks
Experience with HIL/SIL testing systems and simulation tools such as Gazebo
Understanding of embedded systems and communication protocols such as CAN, I2C, or SPI
Experience working within functional safety or regulated engineering environments