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. Omnilab Operations

High Availability Management: Operate and maintain the Omnilab 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.

Requirements

Automation Framework Maintenance & Development: Experience in contributing to or maintaining automated test frameworks, with the ability to perform technical maintenance and implement new features. Proficiency in C++ and Java is required.

Android System & AI Fundamentals: Familiarity with Android AI Core architecture and an understanding of basic model performance metrics (e.g., Perplexity).

Cross-Platform Hardware Integration: Technical background in handling integration challenges across different chipsets to unify and refine test configurations.

Data Visualization & KPI Tracking: Ability to develop and maintain dashboards to effectively monitor key performance indicators for product releases.

Plus

Large-Scale Architecture Migration: Experience leading or participating in test framework version migrations.

Deep AI Model Evaluation: Familiarity with both LLM and Non-LLM execution modes.

International Project Collaboration: Ability to perform task transitions and collaborate with teams in the US or other overseas regions to ensure project deadlines.