Understand the business requirements and develop and execute comprehensive test strategies, including functional, integration, regression, and performance testing, with a focus on core Android internals, APIs, lifecycles, and instrumentation.
Dive deep into design/architecture for Android System, Framework, Kernel, TA alongside with requirements to design cases.
Build maintainable, high quality and effective automated tests for Knox services.
Architect, design, and implement advanced test automation frameworks specifically for Android systems, ensuring broad coverage for different layers.
End to end testing of a product including automation on android mobile devices.
Conduct performance and benchmark testing for key system metrics, including battery life, memory usage, and boot time. Monitor and track performance regressions.
Perform in-depth debugging and analysis of failures using Android tools like ADB, logcat, and tombstone. Provide clear root cause analysis to the development teams.
Takes ownership/responsibility for the product quality during monthly releases
Co-ordinate with program management, Developers and QA leads.
Help in building Engineering culture that enables quality in all software features across Knox services.
Qualifications:
5+ minimum years experience in Android System testing
2+ Years Experience in Android System/Framework Automation
Expertise in Android system and its layered architecture, from the foundation of the Linux kernel to the user-facing applications the Android including Framework and system level security concepts like ARM's TrustZone.
Expertise with standard Android testing and debugging tools, including Android Debug Bridge (ADB), logcat, and the Memory Analyzer Tool.
Extensive coding skills in Java or Python.
Excellent understanding of QA processes and methodologies
Preferred Qualifications:
Previous experience in the testing or development of Android Open Source Project (AOSP) or custom Android versions.
Familiarity with Android build systems, such as Gradle.
AI/ML Testing: Experience with validating AI functionality on Android devices and refining AI evaluation datasets.
Masters in Computer Science or equivalent
Compensation: $60 - $82 per hour
ID#: 36435779
Numbers & Facts
Location
Mountain View, CA
Salary
$60–$82 Per Hour
Skills
ARM (Advanced RISC Machine)unmatched
Androidunmatched
Android Applicationsunmatched
Application Programming Interface (API)unmatched
Architectural Designunmatched
Architectural Engineeringunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Benchmark Testingunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Debugging Skillsunmatched
Debugging Toolsunmatched
Failure Analysisunmatched
Functional Testingunmatched
Gradleunmatched
Instrumentationunmatched
Integration Testingunmatched
Javaunmatched
Kernel Programmingunmatched
Linux Kernelunmatched
Memory Hardwareunmatched
Metricsunmatched
Mobile Devicesunmatched
Open Sourceunmatched
Performance Analysisunmatched
Performance Testingunmatched
Product Testingunmatched
Project/Program Coordinationunmatched
Project/Program Managementunmatched
Python Programming/Scripting Languageunmatched
Quality Assuranceunmatched
Quality Assurance Methodologyunmatched
Regression Testingunmatched
Root Cause Analysisunmatched
Software Design for Test (SDET)unmatched
System Architectureunmatched
System Testunmatched
Test Automationunmatched
Test Plan/Scheduleunmatched
Test Strategyunmatched
Test Toolsunmatched
Testingunmatched
Time Trackingunmatched
Training Data Setsunmatched
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