Cloud Prognostics Engineer

Fords Electric Vehicles Digital and Design (EVDD) team is charged with delivering the companys 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. Youll 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 youll do...

• MBSE methodologies using tools likeSysMLandMagicDraw. 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).

• UsingMATLAB and Simulinkto design control logic model physical system dynamics and auto-generate production-grade highly efficientC 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 environments includingdyno testingande-Daq systems. The engineer must know how to select place and calibrate physical sensors (like accelerometers and strain gauges) on prototype vehicles capture high-fidelity physical data and prepare those datasets for algorithmic analysis.

• Deep expertise in performing safety and security assessments includingFMEA (Failure Mode and Effects Analysis)FMEDA and cybersecurity threat modeling. The engineer must design the system to comply withISO 26262(determining ASIL ratings and designing fail-safe/fail-degraded states) andISO 21434to ensure the prognostic pipeline is secure from edge to cloud.

• Designing optimized network communication and transport protocols. This includes usingGherkinto model behavioral scenarios of cloud-to-vehicle modem communications designing dynamic data-triggering strategies (e.g. only uploading detailed vibration spectra when an anomaly threshold is crossed) and optimizing payload serialization to minimize data transmission costs.

• Strong proficiency in usingSQLon cloud platforms likeGoogle Cloud Platform (GCP)to partition decode and analyze raw CAN bus and sensor telemetry. The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases).

• Advanced capability in eliciting documenting and tracing complex multi-disciplinary requirements using Application Lifecycle Management (ALM) tools likeJamaJira andTeam Center. The engineer must ensure seamless traceability from high-level customer experience goals down to software requirements hardware interfaces and Design Verification Plans (DVP).

• In-depth knowledge of automotive communication protocols includingCAN LIN and Automotive Ethernet. The engineer must be highly skilled in integrating prognostic software applications onto central gateway modules (such as FordsRigil/Enhanced central gateway) managing signal routing and resolving network timing or priority conflicts during physical system integration.

• Practical application of Robust Engineering principles specifically creatingParameter Diagrams (P-Diagrams)to identify system inputs desired outputs error states control factors (design parameters) and noise factors (environmental wear manufacturing tolerances). This ensures the algorithm is tuned to be highly robust against false positives.

• Ability to connect technical engineering metrics (such as algorithm accuracy false-alarm rates) to real-world quality indicators likeNet Promoter Score (NPS) JD Power ratings and Vehicle Repair rates. The engineer must collaborate cross-functionally with divisions like theFord Customer Service Division (FCSD)to integrate prognostic alerts into user-friendly smartphone applications ensuring a seamless anxiety-free service scheduling experience for Ford and Lincoln owners.

Youll have...

• Bachelors degree in Automotive Engineering Systems Engineering Mechanical Engineering Electrical Engineering Electronics Engineering Computer Science or a related field.

• 2 years of experience defining system requirements using Gherkin scenarios (Given-When-Then) and utilizing MATLAB/Simulink for end-to-end feature modeling and system simulation to ensure robustness under nominal and degraded conditions.

• 2 years of experience performing systems analysis and designing systems subsystems or components defining requirements as described above.

• 2 years of leveraging Data-Driven tools to analyze Connected Vehicle Data or large data sets.

• 2 years of experience: investigating and resolving feature-specific issues during product development and launch; or analyzing system failure points and evaluating solution proposals including conducting high level FMAs and FMEAs.

• 2 years of experience: interfacing cloud-to-vehicle modem communications; or applying network communication protocols transport protocols and payload optimization techniques.

• Experience in leading the development of a feature from concept to production while collecting and analyzing vehicle analytics data to improve feature design and performance.

• Experience leading cross-functional triaging activities to systematically investigate reproduce and resolve complex system-level defects by analyzing simulation logs vehicle data and telemetry.

Even better you may have...

• Masters degree with 5 years of automotive experience in engineering and/or data analytics.

• 5 years of proven knowledge of Robust Engineering Fundamentals including defining requirements DFMEA P-Diagrams and validation.

• Knowledge of vehicle architecture and sensors for diagnostics and prognostics feature development.

• Monitor prioritize and drive actions to improve on traditional Quality Metrics: Net Promoter Score Vehicle Repairs JD Power Customer Escalations to improve feature performance.

• Experience working with system modeling language (MagicDraw) and process/interface mapping.

• Experience working with Atlassian JIRA JAMA and Team Center applications (VSEM etc.)

• Ability to clearly communicate technical ideas/findings to cross functional engineering teams.

You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day

Paid time off and the option to purchase additional vacation time.

This position is a range of salary grades 6-8 and ranges from $85400-$160000.

Final determination of salary grade will be based on candidates 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: 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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