Manager, Cloud BMS at Rivian Automotive in Irvine, CA

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

We operate development centers in Plymouth, Michigan; Southern California (Irvine, Carson & LA); Silicon Valley (San Jose and Palo Alto); Vancouver, British Columbia; and Surrey, England; as well as a manufacturing facility in Normal, Illinois.

Responsibilities

• Battery Remaining Useful Life Prediction – work with Battery & BMS team to model physics and data to predict performance degradation of the battery system and
• Battery Predictive Maintenance – work with Battery, BMS, Reliability team to measure battery status and usage, develop machine learning algorithms to detect anomalies in usage, dynamics, and degradation
• Battery Optimal Usage – work with Battery & BMS team to develop optimization algorithm which determines optimal usage of the battery
• Battery Connected Health – work with Battery, BMS, and Software team to develop on-line methods of estimating different battery health metrics
• Collaborate with a variety of Rivian stakeholders to define user stories of the algorithm with different product and integrate Cloud-BMS algorithm in Rivian cloud and Rivian’s connected car.

Qualifications

• 7+ years of work experience in data science/machine learning/battery algorithm, with 10 preferred.
• Demonstrated experience developing and launching analytic platforms based on data science
• Experience in automotive or battery strongly preferred
• Experience or education in a physical science preferred
• MS or PhD required in Computer Science, Mathematics, Chemistry, or Chemical Engineering preferred
• Strong quantitative skills
• Strong communication skills