Sr. Optimization Engineer

RivianPlymouth, MI
3d$111,000 - $138,700

About The Position

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 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. The responsibility of this position is to develop physics-based computational methods for Rivian propulsion systems to support product development. This candidate will engage in developing new and enhancing existing methods with the overall goal of improving Rivian's propulsion system design quality and reducing cost, with an emphasis on motor design and electrical power conversion.

Requirements

  • Minimum master’s degree with 3+ years of experience or PhD in mechanical or electrical engineering with a focus on computational methods
  • Strong knowledge of fundamental physics and engineering principles
  • Strong background in mathematical analysis, scientific computing, numerical methods, and algorithms development
  • Proficiency in statistical methods: meta-modeling, data analysis, machine learning, and artificial intelligence
  • Proficiency in finite-element analysis: electromagnetics, structural, and thermo-fluids
  • Proficiency in programming: C/C++, Fortran, Python, Matlab, etc.

Responsibilities

  • FE solvers for motor design, including electromagnetic, structural, NVH, and thermo-fluid analysis
  • Geometry generation, meshing, and visualization of 2D/3D FE simulations
  • Meta-modeling and response surface (surrogate) generation to augment simulations and testing
  • Statistical tools for machine learning and data analysis
  • Calibration of simulations with the test data
  • Geometric parametrization and optimization methods for motor design
  • Discrete and non-linear optimization methods for system-level design and optimization
  • Reduced-order model development for system-level analysis
  • Parallel implementation (HPC/cloud) of the methods
  • User interfaces (UI) for the solvers, including visualization methods
  • Documentation and tutorials for the methods
  • Pre-, post-, and launch-scripts of the solvers
  • Python-based scripting for workflow automation
  • C/C++/Fortran program development for solver speed-up

Benefits

  • The successful candidate may be eligible for annual performance bonus and equity awards.
  • We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees.
  • You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements.
  • Full-time employee coverage is effective on their first day of employment.
  • Part-time employee coverage is effective the first of the month following 90 days of employment.
  • More information about benefits is available at rivianbenefits.com.
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