Cloud Prognostics Engineer

You'll have... Bachelor’s 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... Master’s 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 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 range of salary grades 6-8 and ranges from $85,400-$160,000. 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: https://fordcareers.co/GSR

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 1-888-336-0660.

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. #LI-Hybrid #LI-MG3