Diagnostics & Data Systems Engineer

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you'll work to deliver breakthrough products and services that delight our customers. We're seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!

Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Engineer and manage complex algorithms designed to automatically analyze vehicle data streams, critical for the advanced identification, prediction, and root cause analysis of systemic issues within the vehicle's integrated electronic and software systems. Analyze system behaviors and potential failure modes to formally define and document the specific data acquisition requirements for onboard vehicle modules. Ensure necessary data is captured to facilitate effective analysis and diagnostics. Utilize advanced proficiency in Python programming to develop sophisticated scripts that perform automated data querying, collection, and categorization from large-scale, cloud-based data repositories (AWS and Google Cloud). Perform meticulous analysis of vehicle Controller Area Network (CAN) communication logs to diagnose and isolate the source of complex behavioral faults and performance anomalies, informing the continuous improvement and refinement of the automated diagnostic algorithms. Execute complex queries and employ advanced analytical techniques on massive datasets, comprising millions of data points from the vehicle fleet. Identify statistical patterns, correlations, and unexpected behavioral trends that are not apparent through conventional analysis. Design, implement, and maintain robust, cloud-native tools and analytical platforms. Provide engineering and quality teams with the capability to perform rapid root cause analysis of aberrant vehicle behaviors, significantly reducing diagnostic time and improving product quality.

What you'll be able to do:

Diagnostics & Data Systems Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Engineer and manage complex algorithms designed to automatically analyze vehicle data streams, critical for the advanced identification, prediction, and root cause analysis of systemic issues within the vehicle's integrated electronic and software systems. Analyze system behaviors and potential failure modes to formally define and document the specific data acquisition requirements for onboard vehicle modules. Ensure necessary data is captured to facilitate effective analysis and diagnostics. Utilize advanced proficiency in Python programming to develop sophisticated scripts that perform automated data querying, collection, and categorization from large-scale, cloud-based data repositories (AWS and Google Cloud). Perform meticulous analysis of vehicle Controller Area Network (CAN) communication logs to diagnose and isolate the source of complex behavioral faults and performance anomalies, informing the continuous improvement and refinement of the automated diagnostic algorithms. Execute complex queries and employ advanced analytical techniques on massive datasets, comprising millions of data points from the vehicle fleet. Identify statistical patterns, correlations, and unexpected behavioral trends that are not apparent through conventional analysis. Design, implement, and maintain robust, cloud-native tools and analytical platforms. Provide engineering and quality teams with the capability to perform rapid root cause analysis of aberrant vehicle behaviors, significantly reducing diagnostic time and improving product quality. Location is 20901 Oakwood Blvd, Dearborn, MI 48124, previously 21000 S Military, Dearborn, MI 48124.