CAE Engineer - 1D Vehicle & Energy Management

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE.

Job Summary:

We are seeking a highly skilled and experienced 1D vehicle system performance simulation engineer to join our team. The ideal candidate will possess expertise in applying 1D simulation tools, to model, analyze, and optimize the performance of various vehicle systems. This role is crucial in supporting the design, development, and validation of new and existing vehicle platforms by providing valuable insights through virtual simulation, reducing reliance on physical prototyping, and accelerating product development cycles.

• Develop and maintain high-fidelity 1D simulation models of various vehicle systems and subsystems, including:
  • Powertrain (engine, transmission, driveline)
  • Chassis (vehicle performance, brakes, suspension, tires)
  • Thermal management (cooling systems, HVAC, battery, electric motors)
  • Climate (Comfort, cabin heating/cooling)
  • Electrical (Supply, loads)
  • Vehicle Systems Control
• Develop and maintain high-fidelity 1D simulation models of various vehicle attributes including:
  • NVH, Vehicle Dynamics, Comfort, Drivability, Gradeability, Vehicle Acceleration, Energy Transfer and Emissions.
  • Utilize industry-standard 1D simulation software such as GT-Power, AMESim, MATLAB/Simulink, Modelica, and others.
  • Analyze and interpret simulation results to identify potential issues, optimize system performance, and provide data-driven design recommendations.
  • Collaborate closely with systems engineers, designers, vehicle architects, validation engineers, and other cross-functional teams throughout the product development cycle, effectively communicating simulation findings and insights.
  • Correlate simulation models with physical test data to ensure model accuracy and improve prediction fidelity.
  • Develop and implement thermal control strategies for optimal system performance and efficiency, especially for electric vehicle systems.
  • Contribute to the continuous improvement of simulation methodologies and tools, developing innovative techniques and potentially automating workflows.
  • Prepare comprehensive technical reports and presentations to effectively document and communicate analysis objectives, results, and conclusions.
  • Stay current on advancements in simulation technologies and industry trends related to vehicle systems and performance.

• Bachelor's degree or higher in Mechanical Engineering, Automotive Engineering, or a related field.
• 10 years minimum experience.
• Proven experience in 1D system modeling and simulation using GT-Power and AMESim.
• Strong understanding of vehicle system dynamics, thermodynamics, fluid mechanics, and/or related areas.
• Proficiency in applying engineering principles and theory to solve complex technical problems.
• Experience using physical test data to correlate simulation models.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills with the ability to effectively present technical information to diverse audiences.
• Ability to work effectively in a fast-paced, collaborative team environment.

• Master's or PhD degree in a relevant engineering discipline.
• Experience with other relevant simulation software like MATLAB/Simulink, Modelica, Car Sim, mode Frontier, etc.
• Familiarity with control engineering principles and their application in vehicle systems.
• Experience with software-in-the-loop (SIL) or hardware-in-the-loop (HIL) testing environments.
• Knowledge of relevant industry standards and regulations.

The starting pay range for Minnesota is $129,000 to $160,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall…