Cloud Prognostics Engineer

Ford Motor Company; Dearborn (MI); On-site; USD 120,000 - 160,000; Full time

Job summary

Ford Motor Company is seeking a Cloud Prognostics Engineering professional to advance prognostic features within the EVDD team. Work spans MBSE, systems architecture, and data-driven prognostics for automotive components.

You'll leverage SysML, MagicDraw, MATLAB, and Simulink to model dynamics, define interfaces, and generate optimized C++ code for production environments across local sensors, gateways, and cloud backends.

Qualifications

• Experience with MBSE and SysML methodologies.
• Proficiency in MATLAB/Simulink for model-based design and code generation.
• Ability to allocate prognostic functions across sensors, gateways, and cloud.

Responsibilities

• Define system boundaries and architectures using MBSE.
• Design control logic and model dynamics with MATLAB/Simulink; auto-generate production-grade C++ code.
• Collaborate to develop prognostic features for automotive components and systems.

Skills

MBSE

Systems engineering

Modeling

Data-driven design

Tools

SysML

MagicDraw

MATLAB

Simulink

C++

Job description

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position...

Are you passionate about leveraging modern day methodologies/tools to understand automotive systems, study and predict the degradation or occurrence of a problem in a vehicle component/system?

Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data?

We are seeking a top-tier Cloud Prognostics Engineering professional who is data driven, self-motivated and detail oriented to help develop and deliver breakthrough Prognostic Features.

What you'll do...

• MBSE methodologies using tools like SysML and MagicDraw. The engineer must be capable of defining system boundaries, establishing logical and physical architectures, mapping interface definitions, and allocating prognostic functions across different physical components (e.g., deciding which calculations run on a local sensor, the central gateway, or the cloud).

• Using MATLAB and Simulink to design control logic, model physical system dynamics, and auto-generate production-grade, highly efficient C++ code. The engineer must understand how to configure solver settings, manage data types (fixed-point vs. floating-point), and ensure the generated code integrates seamlessly into automotive operating systems.

• Hands-on experience operating dynamic laboratory