Hands-On Software Architect for AI Cloud Networking

RESPONSIBILITIES

• Develop and maintain robust software architectures for AI cloud networking solutions, ensuring scalability, performance, etc.
• Collaborate with AI researchers and engineers to integrate AI capabilities into cloud networking solutions, such as intelligent traffic routing, anomaly detection, and predictive analytics
• Meet aggressive high-efficiency and high-performance targets, by innovating, designing and implementing new network technologies, while leveraging co-design of hardware and software, and utilizing our array of smart device hardware offloading capabilities
• Propose strategies and tactics to promote the AI cloud's next-gen networking projects

REQUIREMENTS

• BS or MS or PhD degree in Computer Science (or equivalent experience)
• 5+ years of experience in software architecture and design.
• Proven experience in the design and development of AI-powered networking solutions
• Extensive network acceleration knowledge: TCP/IP optimization, RoCE/RDMA, DPDK, eBPF, etc.
• Experience with Network virtualization (hypervisor, VM switching, etc.)
• Self-driven, “can do” attitude, ability to make sense-of and achieve good progress-with ambiguous requirements
• Excellent communication / inter-personal skills and ability to collaborate with other teams

Ways to stand out from the crowd:

• Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..)
• Experience with performance analysis of large scale cloud based application system.
• Experience with advanced HW offload features (OvS, Security, etc.) over SmartNics
• Deep understanding of major cloud platforms (AWS, Azure, GCP) and their networking capabilities.
• Ability to integrate innovations with current products