Vehicle Diagnostics & Prognostics Systems Engineer

G-TECH Services LLC; Dearborn (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

G-TECH Services LLC in Dearborn, MI seeks a Systems Engineer - Controls & Prognostics to advance connected vehicle diagnostic and prognostic solutions. You will apply MATLAB/Simulink and C++ to model vehicle health and performance.

The role requires collaboration across disciplines to define requirements, manage MBSE artifacts, analyze CAN data, and support safety analyses. Expect involvement in cloud-to-vehicle data workflows and production-ready feature development.

Qualifications

• Master’s degree in engineering, CS, or related field.
• 5+ years automotive systems engineering experience.
• Strong MATLAB/Simulink and C++ proficiency.
• Knowledge of CAN, LIN, Ethernet vehicle networks.
• Experience with DFMEA, requirements management, and MBSE.
• Familiarity with MagicDraw, JIRA, Jama, and Teamcenter.
• Strong communication and problem-solving skills.

Responsibilities

• Develop prognostic and diagnostic models using MATLAB/Simulink and generate C++ code.
• Define and manage system requirements, architecture, and interfaces using MBSE tools.
• Analyze vehicle, sensor, and CAN data to improve feature performance.
• Conduct FMEA/DFMEA and support functional safety activities.
• Collaborate with cross-functional teams to develop connected vehicle features from concept to production.
• Support cloud-to-vehicle communication and data-driven feature development.

Skills

Automotive systems engineering

MATLAB/Simulink

C++

Vehicle data analytics

Communication skills

Problem-solving

Education

Master’s degree

Tools

MagicDraw

SysML

JIRA

Jama

Teamcenter

Job description

G-TECH Services LLC in Dearborn, MI seeks a Systems Engineer - Controls & Prognostics to advance connected vehicle diagnostic and prognostic solutions. You will apply MATLAB/Simulink and C++ to model vehicle health and performance.

The role requires collaboration across disciplines to define requirements, manage MBSE artifacts, analyze CAN data, and support safety analyses. Expect involvement in cloud-to-vehicle data workflows and production-ready feature development.