Job Description

Rivian is seeking a candidate to join their Battery Advanced Materials organization to develop innovative battery technologies for upcoming vehicle platforms. The role involves research, design, and implementation of battery optimization algorithms, as well as collaboration with cross-functional teams to enhance battery performance and longevity.

Requirements

PhD/Postdoc, MS + 2 years, BS + 3 years of industrial experience with degree in electrical engineering, mechanical engineering, chemical engineering, computer science, or related.
Hands-on coding expertise in Python for analyzing large datasets and algorithm performance.
Strong understanding of electrochemical processes and battery materials for lithium-ion cell technology.
Strong understanding of multi-scale physics modeling, thermal modeling, electrochemical modeling, and system controls using MATLAB, C++, ANSYS, COMSOL, etc.
Previous experience on P2D/ECM modeling, Simulink, COMSOL, Abaqus, Fortran, C/C++, SQL/query-based methods, image processing, CNNs, and/or graph neural networks.
Experience with state-of-the-art electrochemical models and detailed 3D cell modeling.
Experience with lithium-ion battery-related fields for consumer electronics, automotive, or cell manufacturing preferred.
Communication skills and ability to lead cross-functional efforts.

Responsibilities

Join Rivian’s Battery Advanced Materials organization and develop cutting-edge battery technologies.
Research, design, build, validate, refine, and launch battery optimization algorithms.
Contribute to cross-functional efforts integrating sensors and obtaining experimental parameters.
Identify opportunities for existing modeling & algorithm updates to improve performance characteristics.
Digest large datasets into descriptor-based models to correlate and identify key design parameters.
Develop machine learning algorithms and/or mathematical models to predict cell and pack lifetime performance.
Create feedback loop to inform future cell chemistry and form factor selection.
Help integrate vehicle and driving profile data to optimize fast-charge algorithms.
Reconcile vehicle field data with cell-level aging models.
Collaborate with cross-functional teams to ensure seamless integration of BMS solutions.

Benefits

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.

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