Vehicle Dynamics Simulation Integration Engineer

Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Vehicle Dynamics Simulation Integration Engineer is responsible for supporting the move to virtual engineering by leading the integration of full-vehicle cross-functional co-simulation packages focused on vehicle dynamics and related disciplines. This position is highly technical and collaborative, involving partner teams throughout Virtual Design Development and Validation (VDDV), Vehicle Performance, Validation, Global Vehicle Hardware Engineering and Vehicle Software and Electronics Engineering. The role deals with multiple emerging technologies, and constant pursuit of innovation is key to its success.

What You'll Do

• Support resolution of program issues by aligning co-simulation partners to meet technical and timing demands.
• Act as the single point of contact for vehicle dynamics co-sim users, resolving usage concerns.
• Support forecast and planning needs, escalating needs for required resources.
• Help identify strategic opportunities for innovating processes and methods.
• Align software releases, calibration milestones, and vehicle hardware release milestones to ensure the virtual vehicle co-simulation package is consistently up to date.
• Design, develop, and integrate virtual models representing both hardware and software behavior for active chassis systems such as Electronic Brake Control Module (EBCM), Electric Power Steering (EPS), Active Rear Steering (ARS), Semi-Active Damping System (SADS), and others into co-sim frameworks for Electric Vehicle (EV), Plug-in Hybrid Electric Vehicle (PHEV), and Internal Combustion Engine (ICE) programs to enable vehicle dynamics performance and chassis controls software development, calibration, and validation.
• Develop and integrate multi-body and 1-D vehicle dynamics models including vehicle mass, aerodynamics, brake system, front and rear steering systems, front and rear suspension systems, tire models, propulsion systems, and sensor models such as the Inertial Measurement Unit (IMU) into Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation platforms.
• Create, evaluate, review, and verify Functional Mock-up Unit (FMU) based embedded controller models for EBCM, EPS, ARS, SADS, and other vehicle systems.
• Create and evaluate serial data communication interfaces for embedded chassis controller models to simulate communication between Electronic Control Units (ECUs) through Controller Area Network (CAN), Local Interconnect Network (LIN), and Ethernet bus messages for SIL and HIL simulations.
• Integrate chassis simulation components to enable loads prediction for performing structural design analysis of safety-critical components.
• Verify and validate integrated virtual Electronic Control Units (vECUs), serial data communication systems, and vehicle models to meet vehicle-specific architecture and dynamic requirements of current and future model years for our product portfolio.
• Develop test procedures to enhance virtual vehicle development, calibration, and validation, and work with suppliers to troubleshoot issues in the virtual models provided for those activities.
• Perform closed-loop learning to validate the performance of chassis controller models and analyze simulation data against vehicle data to improve the fidelity of the virtual chassis controllers.
• Effectively debug and troubleshoot issues in embedded software by analyzing source code written in C/C++.
• Develop and validate automated simulation run scripts using MATLAB and Python.
• Support implementation and utilization of Simulation Data Management (SDM) and version control tools to manage vehicle dynamics plant models and virtual controller models, effectively leveraging tools like GitHub for that purpose.
• Define requirements for supplier co-sim packages, and work with them to ensure consistency of deliverables in terms of quality and timing, escalating issues as appropriate.
• Ensure co-sim packages meet standards as defined by the SIE governance team.
• Represent the needs of vehicle dynamics among SIE peers from other disciplines.
• Advocate for adoption of virtual methods for vehicle design, development, and validation.

• BS Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Software Engineering or Computer Science.
• 2+ years of relevant experience in the space.
• Proven ability to work in teams, balancing technical theory with practical limitations.
• Strong oral and written communication skills.

• MS Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Software Engineering or Computer Science.
• 5+ years of relevant experience in the space.
• Automotive hands-on experience with building, restoring, and modifying vehicles. Completion of performance driving instruction.
• Participation in collegiate/competitive teams such as Baja SAE (Mini Baja), Formula SAE, EcoCAR, PACE, or comparable programs.
• Hands-on experience with at least one multibody dynamics tool (e.g., Simpack or MSC ADAMS) to build, run, and post-process baseline models. Ability to interpret results and debug basic model issues.
• Working knowledge of real-time 1-D vehicle dynamics tools (e.g., CarSim or IPG CarMaker) to set up scenarios, execute runs, and interface with MATLAB/Simulink where needed.
• Exposure to vECU environments (e.g., dSPACE VEOS or equivalent). Ability to execute simulations, review logs, and support integration of models/plant components.
• Proficiency in MATLAB/Simulink for scripting, model setup, parameter sweeps, and data analysis. Ability to follow modeling guidelines and code-gen conventions.
• Experience using modern Version Control Systems (Git preferred, familiarity with SVN/TFS a plus) for branching, pull requests, and code reviews.
• Familiarity with SDM/PLM systems (e.g., Teamcenter, IBM Rational Team Concert) for model storage, configuration, and traceability.
• Experience with one or more languages such as Python and/or C/C++. Ability to write clear, well-documented scripts/utilities to automate simulation workflows and data processing.