Staff Software Engineer-Embedded(79871)

In our 'always on' world, we believe it's essential to have a genuine connection with the work you do. RUCKUS Networks is hiring a Staff Software Engineer who will work closely with our team in Taipei! How You'll Help Us Connect the World • Collaborate with the team, participate in code reviews, and engage in cooperative development to ensure code quality • Provide guidance and mentorship to less-experienced software engineers to develop reliable and high-quality solutions • Design, develop, and maintain applications of AP gateway functionalities and communication protocols • Design and develop the test tools and system level testing for your own software modules • Provide recommendations for continuous improvement • Document and maintain software functionality • Use tools and technologies to track and record issues, assisting the team in effectively debugging and troubleshooting problems Join our team and contribute to the development of innovative applications with AP gateway features. Required Qualifications for Consideration: • 6+ years of experience in C/C++ programming for embedded systems • Master's degree in computer science or a related field • Knowledge of system-level design, performance tuning, and memory management • Enthusiasm in programming, good understanding in C Language is required • Strong knowledge and experience in Linux system development, including network programming, debugging, and problem-solving • Great communication and interpersonal skills in English • Familiarity with Git for version control and experience working with code repositories • A highly motivated and proactive individual who is eager to take on new challenges • Able to quickly comprehend the new technology and specifications • Capable of independent problem-solving and completing tasks with minimal supervision You Will Excite Us If You Have: • Good knowledge of networking and virtualization • Experience in configuring and deploying captive portal solutions • Experience in applying machine learning or AI models to solve business problems • Experience in building large scale, high performance, high availability systems