Energy Modeling & Simulation Toolchain Engineer

General Motors

Warren (MI)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

General Motors is seeking a Vehicle Energy Model and Toolchain Development Engineer to advance simulation tools that predict energy usage, performance, and efficiency across propulsion systems. You will enhance fidelity, usability, and data analysis within virtual engineering efforts for both electric and internal combustion engines.

The role emphasizes tool growth areas such as Co-Simulation, Machine Learning, and user experience, and requires strong experience with MATLAB/Simulink and related

Qualifications

  • Bachelor's Degree in Engineering required.
  • 5+ years of relevant experience.
  • Experience with vehicle simulation tools or ability to learn quickly.
  • Familiarity with MATLAB/Simulink/SimScape, GT-Suite, AMESim, GMSim, CarSim, AVL or related tools.
  • Knowledge of Vehicle, Powertrain, and Controls Integration.
  • Interest in developing tools to drive organizational effectiveness.

Responsibilities

  • Improve Energy and Performance tool capability, fidelity, correlation, and data analysis techniques.
  • Identify opportunities for tool and model improvements (Co-Simulation, ML, UX, Variation Analysis, Modular Systems & Fidelity Levels).
  • Train users of Energy tools and provide support as needed.
  • Collaborate cross-functionally with Thermal Analysis, Vehicle Dynamics, Vehicle Controls, Electrification Analysis, etc.

Skills

Vehicle simulation
MATLAB/Simulink/Simscape
GT-Suite/AMESim
CarSim/AVL software
Vehicle controls integration
Data analysis
Engineering theory (mechanical/elect./

Education

Bachelor's Degree in Engineering
Advanced degree in vehicle energy systems

Tools

MATLAB/Simulink/SimScape
GT-Suite
AMESim
GMSim
CarSim
AVL

Job description

General Motors is seeking a Vehicle Energy Model and Toolchain Development Engineer to advance simulation tools that predict energy usage, performance, and efficiency across propulsion systems. You will enhance fidelity, usability, and data analysis within virtual engineering efforts for both electric and internal combustion engines.

The role emphasizes tool growth areas such as Co-Simulation, Machine Learning, and user experience, and requires strong experience with MATLAB/Simulink and related

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