QA Engineer with 3+ years in Automotive Infotainment & Instrument Cluster validation.
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QA Engineer with 2.7+ years of experience in Manual and Automation Testing, specializing in Automotive Infotainment and Instrument Cluster validation. Experienced in Functional, Regression, API, and UI with strong exposure to Selenium WebDriver with Python/Java for automation. Skilled in test case design, defect lifecycle management, API testing using Postman, and SQL. Proven ability to work in Agile environments, collaborate with cross-functional teams, and ensure high-quality software releases.
JNTU Kakinada
B.Tech · Electrical and Electronics Engineering
N/A – June 30, 2022
People Tech Group
QA Engineer
April 1, 2023 – November 1, 2025
India
IPC - Infotainment Validation | General Motors
June 28, 2026 – Present
Conducted end-to-end validation of instrument cluster functionalities including alerts, telltales, gauges, and information pages, ensuring compliance with GM quality standards. Verified boot-up sequences, welcome animations, ignition cycles, and vehicle state transitions, improving system reliability and user experience. Tested Center Stack Module features such as Settings and Media Center audio, validating infotainment integration with cluster systems. Collaborated with cross-functional teams to identify, document, and resolve defects, contributing to smoother software release cycles. Utilized GM vehicle simulators to replicate real-world driving scenarios, enhancing test coverage and accuracy.
FRCC - Front & Rear Command Console Testing | General Motors
June 28, 2026 – Present
Performed validation of Front & Rear Command Console (FRCC) features including HVAC, Climate Control, Seat functionalities, Virtual Controls, and Ambient Lighting. Tested seat status features such as massage modes and positional adjustments, ensuring ergonomic and comfort compliance. Validated HVAC module combinations including blower speed, temperature adjustments, and motorized vent operations for optimal climate control. Conducted functional testing of Virtual Controls for lights, doors, and other vehicle features, ensuring seamless driver-passenger interaction. Verified ambient lighting configurations across interior zones, enhancing cabin aesthetics and user personalization. Documented test cases, executed regression testing, and reported defects using industry-standard tools, contributing to high-quality product delivery.
Cultural Fit Analysis
The candidate's experience is highly specialized in automotive QA, particularly with General Motors projects, indicating a strong fit for roles within the automotive industry or similar complex embedded systems. Their exposure to Agile/Scrum methodologies suggests adaptability to modern development environments. The breadth of tools and platforms used (Jira, TestRail, Xray, Postman, Selenium) indicates a willingness to learn and utilize industry-standard technologies. However, the lack of project diversity outside of automotive infotainment might suggest a narrower scope of experience for roles requiring broader domain knowledge.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through cross-functional team interaction and participation in Agile ceremonies. Their experience in defect reporting and resolution indicates good problem-solving and communication within a team context. The focus on end-to-end validation and ensuring compliance with quality standards suggests a detail-oriented and quality-focused approach to work.