Hybrid Cloud Prognostics Engineer for EV Systems

Ford

Dearborn (MI)

Hybrid

USD 85,400 - 160,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Dental & vision

Paid time off

Holidays

Employee discounts

Job summary

Ford's Electric Vehicles, Digital and Design (EVDD) team is advancing a fully electric future. We seek a Cloud Prognostics Engineer to develop prognostic features using MBSE, MATLAB/Simulink, and data-driven cloud analytics.

This role emphasizes system-level design, lab testing, cybersecurity, and seamless integration of prognostic software into Ford gateways and vehicle networking. Hybrid work and growth opportunities are available.

Qualifications

Bachelor’s degree in engineering, CS, or equivalent.
Experience with MBSE and SysML.
Proficiency in MATLAB/Simulink for modeling and code generation.
Experience integrating prognostic software into automotive gateways.
Strong understanding of CAN, LIN and Automotive Ethernet.

Responsibilities

Define system boundaries and architectures; allocate prognostic functions across sensors, gateways, and cloud.
Design control logic and auto-generate production-grade C++ code using MATLAB/Simulink.
Operate lab environments, dyno testing, and data collection for algorithmic analysis.
Conduct safety and cybersecurity assessments (FMEA, FMEDA, ISO 26262, ISO 21434).
Model cloud-to-vehicle communications and optimize data payloads to reduce costs.
Use SQL on cloud platforms (GCP) to decode CAN bus and telemetry data.
Trace requirements using ALM tools (Jama, Jira, Teamcenter).
Integrate prognostic apps onto central gateway modules and resolve network timing issues.