Android AI System SDET (Software Development Engineer in Test)

Job Overview This position is responsible for the quality assurance of Android AI products. The core mission is to drive the evolution of automated testing frameworks through engineering methods. You will directly participate in system architecture migration, solve adaptation challenges across multiple chipset platforms, and maintain the infrastructure that supports large-scale AI testing. Core Responsibilities 1.

Test Engineering & Migration Drive Architecture Upgrades: Participate in the technical maintenance and new feature development of the ARTS framework, leading the configuration unification and migration from legacy versions to the new version. Cross-Platform Integration: Perform test integration for various underlying chipset frameworks and solve technical challenges arising from hardware differences.

Develop Specialized Test Modes: Implement new features such as Non-LLM execution modes and audio testing capabilities. 2. Devices Lab Management High Availability Management: Operate and maintain the lab automation platform, ensuring the server achieves a 99.9% uptime target. Hardware Resource Optimization: Proactively identify and resolve laboratory hardware bottlenecks and manage the configuration of diverse AI test devices.

3. Model Quality & Visibility Automated Monitoring Development: Build and maintain data visualization dashboards to monitor key KPIs such as scores, model names, and runtimes. Metric Benchmarking: Execute advanced model evaluation metrics and conduct baseline comparison analysis. 4. Non-Functional Validation Hardware Performance Evaluation: Validate on-device resource utilization (Memory, CPU, and Thermal) during AI tasks to ensure test stability under high-load scenarios.