AI Network Architect

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . Key Responsibilities: Design network architectures for datacenter AI infrastructure solutions, covering different network sizes and types such as IB, Ethernet, scale-up , scale-out , and so on . Design and implement GPU cluster reference designs with specific network topologies, switch/NIC configurations, rack layouts, BOMs, etc. Design and implement methodologies, processes, software frameworks and tools for network performance evaluation and tuning in GPU cluster s . Research network technology trends, collaborate with ecosystem partners, and participate in industry efforts such as Ultra Ethernet, UALink, and so on. Collaborate with cross-function al teams and contribute to business projects and customer engagements. Basic Qualifications: BS/MS in Computer Science , Computer Engineering , Electrical Engineering, or other related fields. 8 + years of experience in datacenter network design and performance tuning. Strong knowledge about network protocols (e.g., Ethernet, Infiniband). Strong programming skills (e.g., C/C++, Python, Go, shell scripting). Excellent communication and leadership skills. Ability to learn new technologies and concepts quickly. Innovative mindset with the ability to think outside the box. Preferred Qualifications: PhD in Computer Science or Computer Engineering. Experience with GPU rack-scale and cluster networking in production environments. Experience with networking software and hardware (NOS, switch, NIC, etc.). Experience with network performance evaluation and tuning. Knowledge about AI workload characteristics and software stack such as collective communications. Ability to innovate and publish at top conferences. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.