Infotainment Quality Engineer (Data-Driven)

Socket.dev; Dearborn (MI); Hybrid; USD 84,000 - 162,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Job summary

Ford Motor Company is seeking a data-driven Quality Engineer to lead improvement efforts across in-vehicle infotainment, audio, cluster, and connectivity systems.

You’ll own key quality metrics, pull data from multiple sources, and partner with software, firmware, and cloud teams to diagnose and resolve customer-facing issues. This hybrid role supports ongoing quality initiatives and scalable problem solving.

Qualifications

• Bachelor’s degree required in Electrical Engineering, Software Engineering, Computer Engineering or similar.
• 2+ years of hands-on coding experience (Python, C, C++, or equivalent) with ability to read/review code and logs for credible discussions.
• 2+ years of experience with engineering tools, databases, and defect tracking systems (Diagnostic Engineering Tool, IVS, VADR, JIRA).
• 2+ years of experience with service tools/applications (e.g., FDRS, PTS, workshop manuals).
• 2+ years of experience with quality methodologies (Root Cause Analysis, 8D, Fishbone, Is/Is Not, 5-Why).
• 2+ years of experience collaborating across teams, including with upper management and peers.

Responsibilities

• Own and improve core quality metrics (Repairs per 1000, CPU, CPR, and end-to-end problem solving velocity).
• Lead a unified quality agenda across customer claims, DTC data, service turnaround, dealer handling, connected vehicle data, mobile app data, and warranty spend.
• Conduct root-cause and Pareto analysis for infotainment, audio, cluster, and connectivity issues across gateway modules and cloud services.
• Use scripting and code review (Python, SQL) to pull and analyze data from DTC logs, telematics/cloud data, and mobile app logs.
• Represent the quality function in internal and cross-team forums with findings and recommendations.
• Drive timely resolution of priority items and assemble cross-functional support to accelerate issue resolution.
• Identify and implement process improvements to reduce manual effort and streamline escalation management.
• Maintain tracking and throughput on tickets in JIRA/QAI/IRIS and submit monthly quality reports.

Skills

Python

C

C++

Reading code/logs

Cross-functional collaboration

Education

Bachelor’s degree in Electrical Engineering, Software Engineering, Computer Engineering or similar

Tools

Diagnostic Engineering Tool

IVS

VADR

JIRA

FDRS

PTS

Job description

Ford Motor Company is seeking a data-driven Quality Engineer to lead improvement efforts across in-vehicle infotainment, audio, cluster, and connectivity systems.

You’ll own key quality metrics, pull data from multiple sources, and partner with software, firmware, and cloud teams to diagnose and resolve customer-facing issues. This hybrid role supports ongoing quality initiatives and scalable problem solving.