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Job Responsibilities 1. Quality Assurance Testing Perform manual and automated testing for Android AI system features, applications, services, and both in-market and pre-release builds. Create detailed test plans, write and execute test cases, and deliver test reports for new and existing functionalities. Ensure comprehensive functional and non-functional test coverage, including device resource validation (memory, CPU, battery). Add, update, maintain, and execute regression test suites and feature-based test cases. Maintain test scripts, documentation, and continuously improve test coverage and quality. 2. Build Test Management Monitor automated and manual build and test executions, including follow-through on failures or unexpected behaviors. Perform and monitor manual/automated release processes for software builds, AI models, datasets, and configuration updates. Review test code and configuration changes, and update test logic to accommodate new scenarios or feature updates. 3. Issue Triage Escalation Conduct first-level triage for new issues and analyze logs, behavior mismatches, and failure patterns. Provide daily updates on outstanding bugs, next steps, and clear recommendations for engineering teams. Track, validate, and verify defects for each release cycle. Escalate unresolved build errors, test harness failures, or complex issues when required. 4. AI Model Quality Analysis Receive and distribute new model/data files for internal experimentation and development. Perform essential model soundness checks (e.g., perplexity-based tests, basic validation). Execute performance and accuracy benchmark tests (e.g., XSum, COCO-Text) and generate structured reports. Monitor automated on-device AI model tests and triage or escalate unexpected output discrepancies. Produce performance evaluation reports based on defined guidelines. 5. Test Resource Device Management Maintain test devices and lab resources, including re-installing, configuring, and preparing devices for test execution. Provide regular device-specific health and test result summaries to support system quality evaluation.

*負責公司 iOS APP 開發團隊管理、專案推進與跨部門協調，確保專案如期交付並符合品質標準。1. 規劃 iOS 開發時程與資源配置，確保專案進度與交付品質。2. 帶領與管理 iOS 開發團隊，進行任務分派、技術指導與成員培育。3.協助團隊解決開發過程中的技術與流程問題，提升整體開發效率。4.與產品、設計、後端等部門溝通協作，推動需求落地與版本迭代。5.監控產品品質與使用者回饋，推動持續改善與優化。6.建立並優化 iOS 開發流程與團隊協作機制。上班時段日班休假制度週休二日

The Quality Infrastructure Engineer is a crucial operational role responsible for the continuous health, stability, and performance of the automated testing environments supporting Android Kernel quality efforts. You will ensure maximum availability of the testing fleet, maintain the integrity of the CI/CD pipeline, and serve as the first responder for automated test failures. This position demands a strong focus on automation, data integrity, and strict adherence to Service Level Objectives (SLOs). Key Responsibilities 1. Infrastructure and Fleet Reliability • Maximum Uptime: Maintain a minimum 99.9% uptime for both physical and virtual Android device fleets essential for Android Kernel quality testing. • Automation Health: Configure and monitor all pre-submit, post-submit, and release testing pipelines, ensuring lab automation efforts operate at a sustained 99% uptime. • Test Maintenance: Proactively identify and fix existing Android kernel test failures and develop new test configurations or minor test code patches as requested. 2. First-Tier Triage and Resolution • SLO-Driven Response: Perform first-tier triage for all issues resulting from automated test routines, strictly adhering to the following SLOs: o Pre-submit Failures: Resolution/Triage within 2 business days. o Post-submit Failures: Resolution/Triage within 5 business days. • Issue Management: Document and track issues, providing "issue breadcrumbs" to facilitate faster root cause analysis by downstream engineering teams. 3. Reporting, Data, and Metrics • Dashboard Development: Design and develop automated report dashboards to visualize critical metrics, focusing on lab uptime, fleet health, and key issue patterns. • Data Integrity: Process all test result data meticulously according to established Standard Operating Procedures (SOPs). • Stakeholder Reporting: Prepare and deliver weekly status updates, and formally report processed test result data and insights directly to the Android Kernel Quality Lead. Qualifications • 3+ years of technical experience in DevOps, SRE, or Infrastructure QA roles, specifically supporting CI/CD pipelines and automated testing. • Proven ability to configure, monitor, and troubleshoot test automation systems. • Strong commitment to maintaining and exceeding high operational uptime standards (e.g., 99.9%). • Experience with data processing and developing technical dashboards or automated reports. • Demonstrated ability to conduct first-tier triage and rapidly analyze test failure logs in a kernel or system software context.

We are looking for: You will be responsible for all aspects of software development, which includes building, writing automated tests, and deploying software on our Android SDK platforms. This team works closely with partner teams throughout the hardware and software product lifecycle.

We are looking for: As an Android BSP Engineer, you will be responsible for the kernel and driver level system development, which includes building, troubleshooting, and writing automated tests for the Android system on our embedded payments platforms. This team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to Android app teams. We also work with external vendors on part selection and initial hardware bring-up.

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