Prognostics Engineer

In this position...

The Prognostics System Engineer is responsible for the system-level implementation and validation of prognostic health management features on vehicle programs. Acting as the Feature Systems Engineer of record for each prognostic, this role introduces those features onto the Bill of Features for impacted programs, and ensures that prognostic algorithms and health indicators are robustly validated end-to-end and deployed against their target programs and model years in accordance with the Feature Development Process. These prognostic features leverage connected vehicle data to predict component degradation, estimate remaining useful life (RUL), and enable proactive maintenance - ensuring reliability, performance, and customer satisfaction in the era of electrification and automation.

We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!

What you'll do...

• Serve as the Feature Systems Engineer of record for each prognostic feature, introducing it onto the Bill of Features for impacted programs and coordinating with program teams on scope and timing.

• Apply the Feature Development Process rigorously, ensuring each prognostic feature moves through required gates, documentation, and sign-offs specific to its assigned program(s) and model year(s).

• Author and document system-level feature requirements using Gherkin syntax (Given-When-Then) to enable clear, testable behavior definitions shared across cloud, vehicle, and program teams.

• Define and allocate feature-level interfaces between vehicle systems, central gateway modules, and cloud prognostic services, confirming implement ability within program constraints (data availability, network bandwidth, compute placement).

• Plan and execute Design Verification Plans (DVPs) to validate prognostic feature performance end-to-end - from vehicle sensor/data collection through network transport to cloud processing and customer-facing output.

• Sign off on feature-level performance, conduct real-world evaluations, and lead cross-functional triage to isolate and resolve system/integration issues versus algorithm-level issues, routing the latter to the algorithm development team.

• Maintain requirements traceability using ALM tools (e.g., Jama, Jira, Team Center) from customer-experience-level goals down to vehicle system requirements, interface definitions, and DVP results.

• Coordinate with vehicle network/module engineers to ensure prognostic features integrate cleanly onto central gateway modules and existing CAN/LIN/Ethernet architectures without timing or priority conflicts.

• Analyze connected vehicle and warranty data to validate that deployed prognostic features are performing as intended and to identify opportunities for continuous improvement.

• Communicate feature status, program impacts, and validation results to program leadership and cross-functional stakeholders.

What you'll do...

• Serve as the Feature Systems Engineer of record for each prognostic feature, introducing it onto the Bill of Features for impacted programs and coordinating with program teams on scope and timing.

• Apply the Feature Development Process rigorously, ensuring each prognostic feature moves through required gates, documentation, and sign-offs specific to its assigned program(s) and model year(s).

• Author and document system-level feature requirements using Gherkin syntax (Given-When-Then) to enable clear, testable behavior definitions shared across cloud, vehicle, and program teams.

• Define and allocate feature-level interfaces between vehicle systems, central gateway modules, and cloud prognostic services, confirming implement ability within program constraints (data availability, network bandwidth, compute placement).

• Plan and execute Design Verification Plans (DVPs) to validate prognostic feature performance end-to-end - from vehicle sensor/data collection through network transport to cloud processing and customer-facing output.

• Sign off on feature-level performance, conduct real-world evaluations, and lead cross-functional triage to isolate and resolve system/integration issues versus algorithm-level issues, routing the latter to the algorithm development team.

• Maintain requirements traceability using ALM tools (e.g., Jama, Jira, Team Center) from customer-experience-level goals down to vehicle system requirements, interface definitions, and DVP results.

• Coordinate with vehicle network/module engineers to ensure prognostic features integrate cleanly onto central gateway modules and existing CAN/LIN/Ethernet architectures without timing or priority conflicts.

• Analyze connected vehicle and warranty data to validate that deployed prognostic features are performing as intended and to identify opportunities for continuous improvement.

• Communicate feature status, program impacts, and validation results to program leadership and cross-functional stakeholders.