Diagnostics & Data Systems Engineer

Ford Motor Company; Dearborn (MI); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Ford Motor Company in Dearborn, MI is seeking a Diagnostics & Data Systems Engineer for a hybrid role that combines remote work with on-site presence within commuting distance. The position targets advanced analysis of vehicle data streams and CAN logs to support robust diagnostic algorithms.

The engineer will develop Python-based scripts to query and categorize data from large cloud repositories (AWS and Google Cloud), build cloud-native tools, and enable rapid root-cause analysis across the

Qualifications

• Experience engineering complex algorithms to analyze vehicle data streams.
• Ability to define data acquisition requirements for onboard vehicle modules.
• Proficiency in developing Python scripts for data querying and categorization from large-scale cloud data stores.

Responsibilities

• Engineer and manage complex algorithms designed to automatically analyze vehicle data streams, critical for advanced identification, prediction, and root cause analysis of systemic issues within the vehicle's integrated electronic and software systems.
• Analyze CAN communication logs to diagnose and isolate sources of faults and performance anomalies to improve diagnostic algorithms.
• Execute queries on massive datasets from the vehicle fleet to identify patterns and correlations.

Skills

Python programming

CAN data analysis

Data analysis

Python scripting

Tools

AWS

Google Cloud

Job description

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.

EOE.