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.