Hybrid Vehicle Diagnostics and Cloud Data Systems Engineer

Ford; Dearborn, Northern (MI, KY); Hybrid; USD 109,000 - 170,000; Full time

Job summary

Ford Motor Company in Dearborn, MI, seeks a Diagnostics & Data Systems Engineer to join its Product Development team in a hybrid role combining home and on-site work. You will design algorithms to analyze vehicle data streams and develop cloud-enabled tools using Python, AWS, and Google Cloud to support rapid diagnostics.

The role requires a Bachelor’s degree and 3 years of related experience, with strong problem-solving and data analytics skills for improving vehicle systems and quality.

Qualifications

• Bachelor's degree in engineering or data science required.
• 3 years of related experience in diagnostics, data analysis, or software-enabled vehicle systems.
• Experience diagnosing 12V battery drainage and warranty issues using structured quality methodologies.
• Experience with CAN log analysis and cloud-based data platforms (Azure, AWS, Google Cloud).

Responsibilities

• Engineer and manage complex algorithms to analyze vehicle data streams for automated diagnostics.
• Define data acquisition requirements for onboard vehicle modules based on system behavior analyses.
• Develop Python scripts to query, collect, and categorize data from cloud data repositories.
• Analyze CAN logs to diagnose faults and inform algorithm improvements.
• Query large datasets from cloud platforms to identify patterns and insights.
• Design and maintain cloud-native analytics tools to accelerate root-cause analysis.

Skills

Python programming

CAN analysis

Data-driven diagnostics

Data analysis

Education

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Data Science, or Computer Science

Tools

Vector CAN tools

Azure Data Explorer

AWS

Google Cloud

Job description

Ford Motor Company in Dearborn, MI, seeks a Diagnostics & Data Systems Engineer to join its Product Development team in a hybrid role combining home and on-site work. You will design algorithms to analyze vehicle data streams and develop cloud-enabled tools using Python, AWS, and Google Cloud to support rapid diagnostics.

The role requires a Bachelor’s degree and 3 years of related experience, with strong problem-solving and data analytics skills for improving vehicle systems and quality.