Simulation Integration Engineer – Software-In-Loop, Controls Integration and Simulation Development

Responsibilities

• Work closely with stakeholders to identify requirements, schedule, and deploy simulation projects to enable virtual vehicle design, development, and validation.
• Engage with cross‑functional team members to coordinate on‑time delivery of simulation components to meet requirements and timing.
• Integrate plant models and other ECU models with controller software source code and perform virtual system verification based on requirements.
• Obtain, develop, parameterize, and test virtual controller models to be used across different components such as HWIO, RTOS, controller I/O, and other ECU behavioral models.
• Perform simulation correlation activities based on experimental data.
• Create, maintain, and improve standard simulation architectures.
• Provide support for released simulations, including detailed documentation, and assist users with testing and troubleshooting.
• Design, develop, verify, and execute automated test suites.
• Assist initiatives to benchmark and adopt next‑generation simulation technology and tools.
• Identify, implement, and standardize new simulation development processes of engineering.
• Provide process and architecture feedback improvements.
• Work in and using the SAFe / Agile construct.

• BS in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or Aerospace Engineering.
• 2+ years of relevant experience.
• Adept experience with MATLAB, Simulink, GMSim, ECU behavioral models in the context of plant model development and integration.
• Familiarity or experience with tools such as MATLAB, Simulink, GT Suite, GT Power, Car Sim, AMESim, etc.
• Experience with embedded controls software and architectures, especially AUTOSAR.
• Familiarity with automotive communication technologies including CAN, LIN, SPI, Ethernet.
• Familiarity in computer programming languages including C/C++, Python.
• Experience in leading large and/or difficult projects with high levels of ambiguity.
• Proven ability to work in teams, balancing technical theory with practical limitations.
• Strong oral and written communication skills.