Systems Engineer Controls

.entry-header Location: Dearborn, Michigan Type: Contract Job #105484 StartFragment Overview We’re seeking a Systems Engineer Controls (Cloud Prognostics Engineer) to help develop next-generation connected vehicle technologies that predict component degradation, improve vehicle reliability, and enhance the customer experience. This position combines systems engineering, data analytics, controls development, and cloud-based vehicle diagnostics to create innovative prognostic solutions. Details Location: Dearborn, MI (Hybrid – 4 days onsite/week) Shift Time: First Shift (Morning) Pay Rate: $42.30/hour with benefits Responsibilities Develop prognostic and predictive maintenance features for connected vehicles. Create system models using MATLAB/Simulink and generate production-level C++ code. Define system architectures and requirements using MBSE , SysML , and MagicDraw . Analyze vehicle sensor data, CAN signals, and connected vehicle telemetry. Support diagnostics, prognostics, and feature development throughout the vehicle lifecycle. Perform systems engineering activities including requirements management, validation, and traceability. Conduct FMEA, FMEDA, cybersecurity assessments, and support ISO 26262 and ISO 21434 compliance. Work with automotive communication protocols including CAN, LIN, and Ethernet. Collaborate with cross-functional teams to improve vehicle quality, customer experience, and feature performance. Required Qualifications Master’s degree in Engineering, Computer Science, Data Analytics, or related field. 5+ years of automotive engineering and/or data analytics experience. Strong experience with MATLAB/Simulink and C++ . Experience with Robust Engineering fundamentals including DFMEA, P-Diagrams, validation planning, and requirements development. Knowledge of vehicle architecture, sensors, diagnostics, and prognostics systems. Experience with MagicDraw , Jira , Jama , and Teamcenter . Strong communication skills and ability to work across engineering teams. Preferred Qualifications PhD in Automotive Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Experience developing connected vehicle or cloud-based features. Strong understanding of vehicle communications, diagnostics, and large-scale data analytics. Experience with Gherkin requirements development and systems modeling. Knowledge of cloud platforms, SQL, and connected vehicle telemetry. Experience leading features from concept through production launch. Familiarity with CAN, LIN, Automotive Ethernet, and cloud-to-vehicle communications. StartFragment #LI-MR1 #INDOEM EndFragment .entry-content .clear #post-##