Lucid Motors

Newark, CA, United States

Posted on: 2019-05-14

Category: emobility

Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

Engineer, Battery Modeling (All Levels)

About the company:

Lucid is the new generation of EV. Our relentless focus on innovation, luxury, and sustainability drives us into a reality where you no longer have to choose between doing great things, doing the right thing, and doing everything with the highest regard for efficiency and design. There were luxury cars, then EVs, now there’s Lucid.  

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are currently seeking a Battery Modeling Engineer to develop advanced performance, lifetime, and algorithm modeling. This position requires a creative and analytical mindset with working or research experience in modeling lithium-ion batteries. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. A successful candidate should be a quick learner and detailed oriented. This position will be expected to possess the ability to strive for perfection within a fast-paced environment. Junior level candidates with solid modeling background, and senior level candidates with broader battery modeling experience and additional skill sets are both encouraged to apply.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United States
At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer's guidelines on their first day of employment.
 
Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.
 
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 

The Role:

  • Develop multiphysics-based and data driven based models of lithium ion batteries under extreme operating conditions based on electrochemistry knowledge and test data
  • Develop robust battery models to predict cell behavior including but not necessarily limited to rate performance, life degradation, calendar aging, electrochemical and thermal response, and safety related behavior
  • Provide novel solutions of battery management control system to optimize dischargeable capacity, cycle life, and charge time, and support battery management for algorithm and model development
  • Formulate and execute designs of experiments to acquire sufficient data to train, validate, and test the battery models
  • Work on battery estimation algorithms and models regarding SOC, SOH, impedance, and performance limitation under given operating conditions
  • Work with cross-functional teams to develop, implement, test, and maintain your model
  • Review academic papers and provide insight summary for team members
  • Develop advanced deep learning models and tools for data analysis and optimization
  • Deliver documents related to model and algorithm development
  • Work with intellectual property team to patent your inventions
  • Collaborate with battery team to determine and achieve battery performance and lifetime targets
  • Qualifications:

  • Fundamental knowledge of lithium-ion cell electrochemistries and mechanisms
  • Experienced in creating multiphysics-based and data driven based models for electrochemical/thermal/mechanical systems
  • Familiar with battery testing equipment and test protocol
  • Experience in writing efficient code to process and analyze large data sets
  • High level of mathematical and advanced data process and analysis capabilities
  • Excellent communication skills and team-oriented attitude
  • Comfortable with initiating and taking ownership of projects
  • Preferred:

  • Experienced in using COMSOL or other multiphysics-based package for battery simulation
  • Experienced in developing data driven based model for battery simulation
  • Experienced in model and algorithm development applied in battery management system
  • Skilled in code developing tools such as Python or Matlab
  • Strong understanding of algorithm design, optimization, and verification
  • Good mathematical knowledge and experience in statistical analysis, optimization, machine learning, and deep learning tools
  • Candidates with successful multidisciplinary work record or education background 
  • Education:

  • BS, MS or PhD degree in EE, ME, CS, Math, Physics, Chemistry, Materials or equivalent degree or equivalent work experience.