Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum.
The Role
GM Motorsports is seeking a highly skilled Vehicle Dynamics Modeling Engineer to join our team. The ideal candidate will have a deep understanding of multibody vehicle dynamics modeling using acausal modeling frameworks. This role will be instrumental in developing and validating simulation models to support our motorsport programs.
What You’ll Do
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Develop and maintain accurate and efficient multibody vehicle models using Modelica Libraries.
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Collaborate with engineers and designers to define simulation requirements and validate model results.
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Optimize simulation models for real-time Driver-in-the-Loop (DIL) applications.
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Play a key role in the development of GM Motorsports Simulation toolchain.
What You Will Need (Required Qualifications)
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Bachelor’s degree in Mechanical Engineering, Physics, or related field.
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Two or more years of post‑graduate industry experience; candidates with a Master’s or PhD and relevant experience will also be considered.
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Experience in multibody vehicle dynamics simulation gained through university‑level FSAE, the automotive industry, or academic research.
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In-depth understanding of various aspects of vehicle modeling, including suspension kinematics and advanced tire models.
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Ability to program in Python, MATLAB or C++.
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Familiarity with software development process – Git, code review, Continuous Integration (CI) / Continuous Deployment (CD) pipelines.
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Strong analytical skills with the ability to develop models that can provide actionable insights for vehicle performance improvement.
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Effective communication skills and the ability to interact well with others.
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Demonstrated ability to work effectively in a fast-paced, team-oriented environment.
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Flexibility to adapt to changing priorities and work schedules as required by motorsport demands.
What Will Give You a Competitive Edge (Preferred Qualifications)
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Master’s or PhD in Mechanical Engineering, Physics, or related field.
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Expertise in developing accurate and numerically efficient complex multibody vehicle models in an acausal modeling framework.
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Prior experience in Modelica and Dymola.
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Familiarity with FMI standards and the use of FMUs in co-simulation and model exchange scenarios for simulation.
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Experience optimizing simulation models for use in real-time Driver-in-the-Loop (DIL) simulators.
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Knowledge of motorsport simulation tools and their practical applications in high-performance racing environments.
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Demonstrated passion for creating highly accurate, numerically efficient models for motorsports.
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