Description du poste
At Zoox, we have set the goal to provide our customers with the highest level of safety and a best-in-class experience while using our fully autonomous vehicles. You will work with a team of leading engineers with diverse backgrounds, such as robotics, control, and vehicle engineering, to deliver vehicle performance using virtual tools and methodologies. In taking on the virtual and physical durability development, you will work on predicting where the vehicle is within its lifespan and providing maintenance scenarios and optimization strategies. At Zoox, we have set the goal to provide our customers with the highest level of safety and a best-in-class experience while using our fully autonomous vehicles. You will work with a team of leading engineers with diverse backgrounds, such as robotics, control, and vehicle engineering, to deliver vehicle performance using virtual tools and methodologies. In taking on the virtual and physical durability development, you will work on predicting where the vehicle is within its lifespan and providing maintenance scenarios and optimization strategies. Establish and refine the system/component-level targets for reliability performance of the sensors (including LiDAR, radar, and camera components), AI compute system, and other automotive electronic control units (ECU) in collaboration with internal stakeholders on the Hardware and Sensors Engineering teams. Drive the design failure mode and effects analysis process (DFMEA) for relevant sensors, high-performance computers, and ECUs to capture key reliability risks and define appropriate mitigation strategies. Use reliability targets, DFMEA outputs, and physics-of-failure principles to partner with validation engineers in developing virtual and physical test plans that prove out designs and demonstrate required reliability performance. Lead the definition and deployment of Prognostics and Health Monitoring (PHM) strategies for sensors, compute, and EE systems, including identificati