Controls Development Engineer at Warren, MI, 48092

**Role: Controls Development Engineer Ride Height Suspension Controls

Location: Warren, MI, 48092

Duration: 12 months (can extend)

100% on-site

6-8 years exp

Must Have Technical/Functional Skills** Bachelor's degree in electrical engineering, Electronics Engineering, Controls Engineering, Mechanical Engineering, or related engineering discipline.

Minimum 8 years of experience in automotive controls development, embedded software, or chassis systems engineering.

Strong knowledge of chassis controls domain, with experience in suspension controls, ride height control, damping control, or related vertical motion functions.

Strong knowledge of vehicle dynamics, control theory, estimation methods, and closed-loop control system behavior for automotive applications.

Hands-on experience with MATLAB and Simulink for controls development, analysis, and validation.

Working knowledge of Embedded C and automotive embedded software development practices.

Strong experience with Rhapsody for MBSE, including requirements of modeling, behavior modeling, interface modeling, and traceability-driven development workflows.

Familiarity with Ethernet protocol and automotive communication/networked control environments.

Roles & Responsibilities

Design and develop ride height suspension control algorithms for advanced chassis applications.

Apply vehicle dynamics and control theory to define, tune, and optimize closed-loop suspension control behavior.

Develop model-based control logic using MATLAB and Simulink for requirements- driven algorithm implementation.

Use Rhapsody-based MBSE methods to support behavioral modeling, interface definition, and traceability between requirements and control logic.

Analyze simulation and test results to refine control performance, robustness, and functional behavior.

Support validation of control algorithms across SIL and co-simulation.

Collaborate with systems, software, calibration, and validation teams to mature algorithms into production-feasible solutions.

Analyze and refine control algorithm performance based on simulation and vehicle validation results.