Advanced Vehicle Motion Control Systems Simulation Engineer

22 hours ago


Melbourne, Victoria, Australia beBeeSimulation Full time

Job Description

We are seeking a highly skilled Simulation Engineer to join our team and help us develop advanced vehicle motion control systems. As a key member of our simulation engineering team, you will be responsible for developing, maintaining, and deploying simulation environments that accelerate the design, validation, and optimization of these systems.

Responsibilities:

  • Develop multi-domain simulation models ranging from simple one-dimensional representations to high-fidelity, multi-degree-of-freedom physical models of vehicle systems.
  • Cross-compile and execute control software on Linux host systems to enable fast, hardware-independent validation of algorithm behavior and integration logic.
  • Execute control software on target hardware with real-time models to evaluate closed-loop performance and system-level interactions.
  • Build scalable simulation toolchains and automation infrastructure to support continuous integration and regression testing.
  • Design and implement virtual test scenarios, edge case conditions, and fault injection strategies.
  • Collaborate with controls, software, and test teams to ensure simulation coverage supports development velocity and system safety.
  • Perform model correlation and calibration using vehicle test data to ensure simulation accuracy.
  • Optimize simulation execution for performance and scalability across local and cloud-based compute environments.

Qualifications

  • Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Electrical Engineering, or a related field.
  • 10+ years of experience in simulation, control system development, or embedded software validation.
  • Proven ability to develop simulation models from first principles, ranging from single-mass approximations to multi-degree-of-freedom representations.
  • Strong experience with Linux-based simulation environments, cross-compiling, and executing control software on host and target systems.
  • Proficient in C++ and Python for simulation model development, integration tooling, and automation.
  • Practical knowledge of vehicle dynamics, control theory, and physical system modeling.
  • Strong experience with simulation automation and integration using tools such as Jenkins, Git, and Python-based frameworks.


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