Cloud Prognostics Engineer (Hybrid - Dearborn)

Pro Staff

Dearborn (MI)

Hybrid

USD 48,000 - 68,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision

401(k) Retirement Savings Plan

Employee Assistance Program (EAP)

Commuter/Parking Accounts

Health Savings Account (HSA)

AD&D Insurance

Job summary

Pro Staff in Dearborn, MI is seeking a Cloud Prognostics Engineer for a contract role. The position blends systems engineering, MATLAB/Simulink modeling, C++ development, and cloud data analytics to advance health monitoring and prognostics for connected vehicles.

The ideal candidate has a Master’s degree and 5+ years in automotive engineering or data analytics, with hands-on MBSE, SysML, and ISO 26262 experience. Hybrid work arrangement with four days onsite.

Qualifications

Master's degree in Engineering, Computer Science, or related field.
5+ years of automotive engineering, systems engineering, or data analytics experience.
Strong experience with MATLAB/Simulink, C++, MBSE, SysML, and MagicDraw.
Knowledge of CAN, LIN, Automotive Ethernet, diagnostics, and prognostics.
Experience with DFMEA, P-Diagrams, ISO 26262, and ISO 21434.
Excellent communication and problem-solving skills.

Responsibilities

Develop prognostic and diagnostic solutions using MATLAB, Simulink, and C++
Create system architectures and requirements using SysML, MagicDraw, Jama, Jira, and Teamcenter
Analyze connected vehicle, CAN bus, and sensor data using SQL and cloud-based platforms
Define and validate system requirements, interfaces, and verification plans
Conduct FMEA, FMEDA, cybersecurity assessments, and functional safety activities
Support vehicle integration, sensor validation, and laboratory testing environments
Optimize cloud-to-vehicle communications, data transmission, and telemetry strategies
Collaborate with cross-functional engineering teams to improve vehicle quality and customer experience