The Durability Attribute engineers predict and test the range of loads and stresses Rivian vehicles will experience over life and need to be durable for—a challenging prediction problem with many unknowns. With access to large-scale vehicle fleet data and software-defined vehicles that offer greater scope for control and autonomy, vehicle durability is at the forefront of data-driven engineering at Rivian ensuring the “Forever” in Rivian’s mission of Keeping the World Adventurous Forever.

As a Durability Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You will work with real-world, virtual, and vehicle test data, to identify, classify, and predict customer travel, driving, road surfaces, and other use cases, as well as undesirable events such as ground strikes or recovery events that impact loads on the vehicle and cause lifetime degradation. You will also develop and correlate a hybrid of data- and physics-based models to predict loads and vibrations at various suspension, body, and propulsion components to reduce the need for repeated complex-physics simulations and instrumented vehicle tests. Through your work, you will have the opportunity to improve process automation, efficiency, and standardization of vehicle durability target development.