The Durability Analytics Engineer at Rivian will focus on predicting and testing the loads and stresses that Rivian vehicles will experience over their lifespan. This role is part of a collaborative team that utilizes data analytics, simulation, and testing to ensure vehicle durability while maintaining an adventurous spirit. The engineer will work with real-world and virtual data to identify and predict various driving conditions and their impacts on vehicle performance. The position emphasizes process automation and efficiency in developing vehicle durability targets.

• Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or a similar field.
• 1-3 years of experience in data analytics for automotive or related engineering applications.
• Experience with Python (Pandas, Numpy), PySpark, Matlab, and SQL applied to big datasets.
• Demonstrated expertise with various machine learning techniques applied to automotive use data, test data, or simulation data.
• Experience in fatigue life estimation and statistical methods.

• Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets.
• Build classification models to identify usage archetypes and their correlations.
• Develop and validate machine learning models to estimate vehicle loads and drive events from vehicle data signals.
• Standardize vibration spectra at different vehicle locations across vehicle variants and platforms.
• Automate processes such as component block cycle development from real-world duty cycles.

• Employees at Rivian are often offered comprehensive health, dental, and vision insurance, a 401(k) with company match, ESPP and potential RSU grants, performance bonuses, and generous time off including paid parental and sick leave. Perks can include 24/7 mental-health coaching and therapy, Hinge Health for Anthem enrollees, tuition assistance and professional development, plus on-site food and a wide range of employee discounts on items like computers, mobile phones, home loans, and pet care.