Defect Analysis Engineer – Automotive Infotainment

Job Title

Defect Analysis Engineer – Automotive Infotainment

Location

Plano, TX (Onsite, 5 days per week)

Duration

12+ months

Rate/Salary

Market

About the Role

We are seeking a highly analytical and detail-oriented Defect Analysis Engineer with a strong background in Automotive Infotainment systems. This role involves hands-on technical troubleshooting, defect triage, and collaboration across engineering teams to ensure product quality and timely resolution of issues.

Responsibilities

• Perform high-level defect analysis to identify and filter environmental/setup issues and differentiate IVI vs. server-side defects.
• Route defects to the appropriate queue (HU, Server, Tier1, Tier2, etc.) promptly.
• Continuously monitor defect dashboards, lead triage calls, and collaborate with Product Owners, Evaluation, and Development teams for clarification and closure.
• Develop and maintain dashboards and reports for management and key stakeholders.
• Summarize key findings and work cross-functionally to resolve complex issues efficiently.

Skills & Qualifications

• Strong analytical and problem-solving abilities with the capability to identify issues at the code level.
• Proven experience collaborating with cross-functional teams to ensure product quality.
• Self-starter with excellent communication skills, attention to detail, and creativity in problem-solving.
• Comfortable working under pressure in a fast-paced environment.
• Experience in the Automotive Infotainment domain with exposure to embedded software development (C/C++/Linux).
• Hands-on experience using JIRA, Confluence, and log analysis tools.
• Knowledge of software architecture concepts (SW design, sequence diagrams, APIs, HTTP error codes).
• Proficiency with Linux commands and basic Python scripting.
• Experience working in Agile and Scrum environments.
• Ability to handle unexpected challenges confidently and effectively.

Preferred / Added Bonus

• Experience designing, developing, and debugging software in real-time embedded environments.
• Familiarity with DLT logs, DLT-Viewer, and applying filters for detailed log analysis.