Cloud Prognostics Engineer

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.

Responsibilities:

• Leverage modern methodologies and tools to understand automotive systems, study and predict the degradation or occurrence of a problem in a vehicle component/system.
• Accelerate efforts to build amazing experiences and software products in the Connected Vehicles space with data.
• Develop and deliver breakthrough Prognostic Features using MBSE methodologies with tools like SysML and MagicDraw.
• Design control logic, model physical system dynamics, and auto-generate production-grade C++ code using MATLAB and Simulink.
• Operate dynamic laboratory environments, including dyno testing and e-Daq systems.
• Perform safety and security assessments, including FMEA, FMEDA, and cybersecurity threat modeling.
• Design optimized network communication and transport protocols.
• Use SQL on cloud platforms like Google Cloud Platform (GCP) to partition, decode, and analyze raw CAN bus and sensor telemetry.
• Elicit, document, and trace complex, multi-disciplinary requirements using Application Lifecycle Management (ALM) tools like Jama, Jira, and Team Center.
• Integrate prognostic software applications onto central gateway modules.
• Apply Robust Engineering principles to create Parameter Diagrams (P-Diagrams).
• Connect technical engineering metrics to real-world quality indicators like Net Promoter Score (NPS), JD Power ratings, and Vehicle Repair rates.

Qualifications:

• 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 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.
• Experience leading cross-functional triaging activities to systematically investigate, reproduce, and resolve complex system-level defects.

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