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Tier-1 employer plus a mid-level, generalist QA role with popular skills increases applicant competition.
Role requires specialized wireless and embedded edge AI expertise, limiting cross-industry transferability.
Mandatory 4+ years, WLAN domain expertise and required Python automation make filters quite strict.
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Design, develop, and execute test plans and automation scripts for WLAN features and wireless networking products, including AI/ML-enabled embedded device functionalities.
Perform detailed functional, regression, interoperability, stability, and system-level testing and troubleshooting for wireless solutions, analyzing logs and system traces to diagnose issues.
Validate integration and performance impacts of AI applications on wireless networking in embedded/edge platforms, producing detailed test and bug reports and providing testability feedback during design phases.
Bachelor's degree in Computer Science, Electronics, Telecommunications, or related engineering field (at least Bachelor's required).
Minimum 4 years of experience in WLAN QA, system testing, or wireless product validation.
Mandatory strong proficiency in Python programming for test automation, log analysis, and tool development.
Strong understanding of Wi-Fi protocols, AI application deployments on embedded devices, and hands-on experience with WLAN devices.
Experienced test engineer with demonstrated ownership of WLAN feature validation, including automation and debugging complex wireless systems.
Familiarity with AI/ML applications on embedded and edge computing devices, capable of validating AI-enabled networking features.
Comfortable working in engineering teams interfacing with development for root cause analysis and iterative product improvement, with experience in embedded Linux and related testing environments.