To support the development of intelligent networking and AI systems, the full-time AI Staff Software Systems Engineer will lead the software development lifecycle, design scalable platforms for real-time data processing, and mentor engineering teams in a remote work environment. Key responsibilities: Define and drive innovative technical vision across products and platforms, focusing on intelligent networking and distributed systems Lead the complete software development lifecycle, including architecture, design, implementation, testing, and deployment Design and build high-performance services for next-generation AI platforms, ensuring scalability and operational excellence Required qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience 5+ years of experience in the software development lifecycle, including architecture, design, coding, and production operations 5+ years of programming experience in a general-purpose language, preferably Python, Java, Go, or C++ 3+ years of experience in designing large-scale distributed systems, ideally on cloud platforms like AWS, Azure, or Google Cloud Experience with real-time microservices, distributed data platforms, or AI systems, focusing on high-volume data processing