Cloud Prognostics Engineer

Ford • Dearborn, MI

33d • $85,400 - $160,000 • Hybrid

About The Position

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.

Requirements

• 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.
• 2+ years of experience performing systems analysis and designing systems, subsystems, or components.
• 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.

Nice To Haves

• 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.

Responsibilities

• Using MBSE methodologies with tools like SysML and MagicDraw to define system boundaries, establish logical and physical architectures, map interface definitions, and allocate prognostic functions across different physical components.
• Using MATLAB and Simulink to design control logic, model physical system dynamics, and auto-generate production-grade, highly efficient C++ code, ensuring seamless integration into automotive operating systems.
• Operating dynamic laboratory environments, including dyno testing and e-Daq systems, selecting, placing, and calibrating physical sensors on prototype vehicles, capturing high-fidelity physical data, and preparing datasets for algorithmic analysis.
• Performing safety and security assessments, including FMEA, FMEDA, and cybersecurity threat modeling, to design systems compliant with ISO 26262 and ISO 21434.
• Designing optimized network communication and transport protocols, using Gherkin to model behavioral scenarios, designing dynamic data-triggering strategies, and optimizing payload serialization.
• Using SQL on cloud platforms like Google Cloud Platform (GCP) to partition, decode, and analyze raw CAN bus and sensor telemetry, mapping raw binary hex logs back to human-readable physical values.
• Eliciting, documenting, and tracing complex, multi-disciplinary requirements using Application Lifecycle Management (ALM) tools like Jama, Jira, and Team Center, ensuring seamless traceability from customer goals to software requirements, hardware interfaces, and Design Verification Plans (DVP).
• Integrating prognostic software applications onto central gateway modules, managing signal routing, and resolving network timing or priority conflicts during physical system integration.
• Applying Robust Engineering principles, specifically creating Parameter Diagrams (P-Diagrams) to ensure algorithms are tuned to be highly robust against false positives.
• Connecting technical engineering metrics to real-world quality indicators and collaborating cross-functionally to integrate prognostic alerts into user-friendly smartphone applications for a seamless service scheduling experience.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level