Sr. Engineer, Plant Modeling & Simulations

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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 an expert in cross-functional Plant Model Simulation. This position requires a skilled and experienced engineer with experience in developing vehicle/system level plant models and tools using Matlab Simulink/Stateflow/Simscape. Our ideal candidate exhibits a can-do attitude and approaches their work proactively, and 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:

  • Work with cross-function team to identify plant model requirements for MIL/SIL/PIL/HIL/System Integration testing
  • Support development of real-time Simulation Models using MATLAB/Simulink, Simscape, ASM, Carmaker, etc. for testing of integrated controllers using Hardware-In-the-Loop (HIL)
  • Design & Develop SW tools using M scripts/Python scripts to automate integration of closed-loop library models
  • Interface with hardware, controls, and domain simulation teams to adapt their models for HIL closed-loop feature testing
  • Work with requirement owners to establish validation metrics for plant models
  • Validate component, sub-system or full system model against actual vehicle data from field
  • Document and track modeling issues as appropriate. Participate in triaging of model issues with various teams to drive towards root cause identification and resolution
  • Implement performance improvements as well as improve model fidelity/functionality
  • Develop software tools to help with process optimization
  • Help with scalability of model for new and upcoming products
  • Participate in the design of a world-class engineering effort to bring electric vehicles to a new level of refinement

Minimum Qualifications:

  • Minimum 3+ years of experience in real-time controls plant modeling, mechanical or electro-mechanical components, or simulation for vehicle domains and subsystems
  • Proficient in developing M script and Python, proficiency in web development technologies a plus
  • Understands the basics of EV architecture and power flow
  • Understands vehicle system interaction among all dynamic systems such as chassis, powertrain, ADAS, body, etc.
  • Strong background in mechanical, electrical, and thermal systems modeling
  • Skilled in real-time simulation models developed using MATAB/Simulink
  • Proven ability in developing plant models in Simscape (Battery, Motors etc.)
  • Familiarity in developing vehicle plant models in Carmaker, Carsim, ASM or Dyna4
  • Skilled in dSPACE HIL framework and the associated tools/interface methods (e.g., ControlDesk, ConfigurationDesk, etc.)
  • Good understanding of MIL/SIL/PIL/HIL simulation methodologies
  • Knowledge and experience with automotive communication protocols such as CAN, LIN, UDS, and related tools to measure and command signals, though scripting or otherwise.
  • Bachelor of Science or Master of Science (preferred), in the areas of Mechanical, Electrical, Manufacturing, Automotive, Computer Science, or other related fields
  • Willingness to learn new tools and modeling methods

Preferred Qualifications:

  • Good understanding of MIL/SIL/PIL/HIL simulation methodologies
  • Experience with modeling in scalable framework, Simulink libraries, re-usable components, model referencing etc.
  • Experience with revision control tools, such as Git or similar
  • Experience using real time HIL systems
  • Working knowledge of electrified powertrains
  • Candidate also with experience developing SW tools using M-script based tools, web development technologies such as Angular/React/jQuery would be a plus.
  • Master’s degree in mechanical engineering with a focus in heat transfer, thermodynamics, and fluid mechanics
Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
  • California (Bay Area) - $127,000 - $181,500
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

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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.
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