Senior Autonomy Validation Engineer

Job description

Job responsibilities

• Validate CfH autonomous workflows using L8 HIL benches, simulation environments, bench hardware, machine interface models, and supporting test assets.
• Develop and maintain validation scenarios, test cases, regression tests, and evidence packages based on requirements, release content, field issues, machine data, and customer-use cases.
• Analyze real machine data, site data, logs, communication captures, and test results to understand machine behavior, identify performance gaps, and support root-cause investigation.
• Use machine performance analysis to improve validation coverage, confirm expected system behavior, and provide feedback to development and product teams.
• Support development of simulation capabilities by using real machine data to improve model fidelity, reproduce field conditions, simulate operational scenarios, and strengthen CfH shift-left validation.
• Develop and maintain MATLAB/Simulink real-time models for machine dynamics, actuator behavior, ECM I/O, signal simulation, and closed-loop validation.
• Configure, operate, and troubleshoot dSPACE SCALEXIO benches using ConfigurationDesk and ControlDesk, including deployment, parameter management, automated test execution, and bench bring-up.
• Integrate and validate communications across CAN/J1939, Ethernet/TCP-IP, machine networks, and offboard connectivity, including timing, message integrity, and interoperability.

Job requirements

• Industry Knowledge: Knowledge of mining autonomy, Command for Hauling, autonomous haulage workflows, machine applications, customer site operations, and validation environments.
• Software Product Testing: Knowledge of validation planning, requirements-based testing, scenario-based testing, regression testing, test automation, defect management, and release evidence using tools such as JIRA and…
• Systems Integration: Ability to integrate and troubleshoot onboard autonomy software, MineStar/Fleet systems, machine ECMs, sensors, positioning systems, communication networks, and HIL/simulation environments.
• Problem Solving: Ability to identify, isolate, and resolve technical and process issues affecting validation quality, schedule, and release readiness.
• Programming: Knowledge of relevant programming, scripting, model-based development, and test automation tools used to test, debug, and improve validation workflows.
• Technical Troubleshooting: Ability to troubleshoot hardware, software, electrical interfaces, communication networks, bench configurations, and integrated autonomous machine behaviors.
• Technical Communication: Ability to communicate technical issues, validation status, test results, risk areas, and release recommendations clearly to engineering and leadership stakeholders.