Job Description
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 Youll Do
Develop and maintain accurate and efficient multibody vehicle models using Modelica Libraries.
Collaborate with engineers and designers to define simulation requirements and validate model results.
Optimize simulation models for real-time Driver-in-the-Loop (DIL) applications.
Play a key role in the development of GM Motorsports Simulation toolchain.
What You Will Need (Required Qualifications)
Bachelors degree in Mechanical Engineering Physics or related field.
Two or more years of postgraduate industry experience; candidates with a Masters or PhD and relevant experience will also be considered.
Experience in multibody vehicle dynamics simulation gained through universitylevel FSAE the automotive industry or academic research.
In-depth understanding of various aspects of vehicle modeling including suspension kinematics and advanced tire models.
Ability to program in Python MATLAB or C.
Familiarity with software development process Git code review Continuous Integration (CI) / Continuous Deployment (CD) pipelines.
Strong analytical skills with the ability to develop models that can provide actionable insights for vehicle performance improvement.
Effective communication skills and the ability to interact well with others.
Demonstrated ability to work effectively in a fast-paced team-oriented environment.
Flexibility to adapt to changing priorities and work schedules as required by motorsport demands.
What Will Give You a Competitive Edge (Preferred Qualifications)
Masters or PhD in Mechanical Engineering Physics or related field.
Expertise in developing accurate and numerically efficient complex multibody vehicle models in an acausal modeling framework.
Prior experience in Modelica and Dymola.
Familiarity with FMI standards and the use of FMUs in co-simulation and model exchange scenarios for simulation.
Experience optimizing simulation models for use in real-time Driver-in-the-Loop (DIL) simulators.
Knowledge of motorsport simulation tools and their practical applications in high-performance racing environments.
Demonstrated passion for creating highly accurate numerically efficient models for motorsports.
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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. This job may be eligible for relocation benefits.About GM
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