Lucid Careers

Senior Engineer, Battery Lifetime, Performance and Modeling

Hardware Engineering

Newark, CA      Full-Time

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Leading the future of luxury mobility

Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.

We are currently seeking a Battery Lifetime, Performance and ModelingEngineer.  This position requires an experienced professional with an intimate knowledge of lithium-ion batteries. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.

The Role:

  • Develop robust battery models to predict real-world cell degradation using cycle life and calendar aging data
  • Formulate and execute designs of experiments to acquire sufficient data to train, validate, and test the battery models
  • Integrate battery models into MATLAB and Simulink
  • Work closely with the battery test team to parameterize battery models
  • Collaborate with battery team to determine battery performance and lifetime targets

Qualifications:

  • Experience with physics based modeling of lithium ion cells
  • Fundamental knowledge of lithium-ion cell chemistry and mechanisms
  • Proficient with a statistical programming language for data analysis, simulation, and modeling
  • Familiar with battery testing equipment
  • Experience in writing efficient code to analyze large data sets
  • High level of mathematical and advanced data analysis capabilities
  • Excellent communication skills and team-oriented attitude
  • Comfortable with initiating and taking ownership of projects

Preferred:

  • Expertise in MATLAB, Simulink, Stateflow, and model-in-the-loop testing
  • Experience with dynamic estimation techniques such as Kalman filter, Particle filter, etc.
  • Strong understanding of algorithm design, calibration, and verification
  • Ph.D. with a minimum 3+ years of experience in battery control 

Education:

  • MS degree in EE, ME, CS, Math, Physics, Chemistry, Materials
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