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.You'll have...Bachelors Degree in Electrical, Computer, or Mechanical Engineering5+ years of experience in vehicle systems engineering, automotive diagnostics/prognostics, or related feature development roles. 5+ years of experience authoring and documenting system requirements using Gherkin syntax to support behavior-driven development (BDD) and cross-team clarity. 5+ years of experience decomposing complex features into requirements, interfaces, and test criteria across multiple programs/model years. 5+ years experience applying structured development processes (e.g., Feature Development Process, V-model) within an automotive or similarly regulated environment. 5+ years of experience utilizing the ability to distinguish systems/integration issues from algorithm-level issues. 5+ years of experience with vehicle networking and communication protocols (CAN, LIN, Ethernet) and how data flows from vehicle to cloud. 5+ years of proficiency with ALM/requirements traceability tools (e.g., Jama, Jira, Team Center).5+ years experience with OBD systems and related regulations.Even better, you may have...Master's degree in Electrical or Computer Engineering or related field. Working knowledge of prognostic/PHM concepts (remaining useful life, degradation trends, health indicators) sufficient to collaborate effectively with algorithm development teamsFamiliarity with MBSE concepts and tools (SysML, MagicDraw) to understand how prognostic function allocation across sensor/gateway/cloud is architected upstream. Experience with quality/reliability documents (DFMEA, boundary diagrams, P-Diagrams) as applied to feature-level validation. Experience with electrical module design, in-vehicle networking (CAN, LIN, FlexRay, Ethernet), and power distribution.Familiarity with Ford-specific diagnostic tools and platforms (e.g., Vanguard/VSCS).Experience with connected vehicle architectures, telematics, and cloud-based data pipelines from a systems integration perspective. Familiarity with SQL and cloud platforms (e.g., GCP) sufficient to interpret telemetry and validation data.Electrical Design & Release and electrical testing experience.Proficiency in programming or scripting languages (e.g., Python, MATLAB, C++) for data processing and diagnostic tool development.You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:• Immediate medical, dental, vision and prescription drug coverage• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more• Vehicle discount program for employees and family members and management leases• Tuition assistance• Established and active employee resource groups• Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 7 and ranges from $86,600-$144,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.For more information on salary and benefits, click here: Visa sponsorship is not available for this position.Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call View phone number on click.appcast.io.This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid#LI-AC4What 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.Full timePosting Date: 2026-09-08