Quality Assurance Engineer (Gleo AI)
Core
Validates functionality, performance, and integration quality of AI-based voice recognition services operating in vehicle IVI environments.
Role type
Quality Assurance Engineer (AI/IVV)
Builds
Stable and consistent voice recognition and LLM-integrated services for automotive infotainment systems.
Domain
Automotive IVI, Voice AI, Large Language Models (LLM)
Deliverable
production ML models | product features
Required skills
Test scenario design, Quality reporting, LLM/STT/TTS engine validation, Network environment understanding (3G/LTE/5G/Wi-Fi/Bluetooth), Linux/Android log analysis, English communication
Preferred skills
LLM prompt/response quality evaluation, Voice/dialogue service automation scripting (Python, adb), RAG validation, Multilingual voice recognition testing, Automotive mass production process experience
Technologies
Python, adb, Linux, Android, CI/CD pipelines
Responsibilities
Design test scenarios based on functional requirements covering normal, exception, and noise environments; Configure validation environments including real vehicles, head units, emulators, and audio chambers; Execute tests evaluating context maintenance, response suitability, and continuous dialogue quality; Build automated testing scripts and API test environments integrated with CI/CD; Analyze logs, recordings, and LLM response data to generate quality dashboards; Optimize quality metrics, standards, and testing tools for reproducibility.
Seniority
Mid-level, hands-on IC
