Education: Bachelor's degree or related field
* Develop feature test plans and perform comprehensive end-to-end feature validation and testing for large-scale software subsystems used in advanced wireless research.
* Plan and execute feature validation for development milestones and external activities, including operator trials, demonstrations, and industry showcases.
* Develop and maintain test frameworks, test utilities, and test automation.
* Develop, maintain, and execute continuous and nightly regression test suites.
* Plan and establish software, hardware and network as part of end-to-end system integration and test environment.
* Collaborate with software development and system test teams to plan software releases and support efficient end-to-end software feature integration.
* Debug complex embedded software and troubleshoot end-to-end software and hardware integration issues.
* Apply and develop networking diagnostics, data visualization, and system performance analysis tools to troubleshoot test and integration issues.
* Work with advanced compute, devices, hardware, and software platforms used to develop and validate next-generation wireless systems
* Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
* Ability to communicate technical ideas and work status (estimates, risks, dependencies) clearly, both verbally and in writing
* Ability to work effectively across teams in a fast-paced, collaborative and diverse software engineering environment
* Master's degree in Computer Engineering, Computer Science, Electrical Engineering OR 2 years of work experience in an Embedded Software Engineering field
* Familiarity with Linux based development, release and deploy environments
* Experience debugging embedded software and performing end-to-end software integration in networked environments
* Experience developing and maintaining test frameworks and utilities, automating end-to-end regression tests, and integrating test automation into CI/CD workflows.
* Experience with telecom test equipment such as spectrum analyzer and computer network configuration and performance monitoring hardware and software tools.
* Knowledge of virtualization, cloud-computing, containerization, and orchestration technologies, including Docker, Kubernetes, and Helm
* Knowledge of network protocols, wireless systems, QoS frameworks, protocols such as 5G NR, LTE, and 802.11
* Aptitude to seek and adopt productivity enhancement processes/tools (AI-based & other) on top of a strong foundation of technical and programming skills.
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