ppWe use cookies and similar technologies to personalize content and ads and analyze our traffic /ppAdvertising /pulliOur advertising partners allow us to serve you relevant advertising across the web, based on your interests. They can also be used to limit the number of times you see an advertisment as well as help measure the effectiveness of our advertising campaigns. These partners may collect information about you such as your browser information, location, and/or IP address /liliLenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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) /liliThis 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 , and read about the latest news via our /li /ulpKey Responsibilities /pulliLead technical ownership of customer RFP, RFQ, and responses for AI and HPC GPU cluster opportunities. Design AI cluster solutions based on the latest NVIDIA and AMD GPU hardware platforms /liliAnalyze customer requirements and develop complete cluster solutions including compute, networking, storage, power, cooling, rack/datacenter layout, and management software during the pre-sales and RFP process /liliDesign and deliver compelling technical presentations, POC, or demos that clearly articulate Lenovo’s competitiveness in customer use cases /liliMentor and provide technical leadership to junior RFP participants and sales engineers on solutions, customer requirements, and common architecture tradeoffs /liliWork with internal engineering, deployment, hardware, networking, and supply chain teams to validate proposed solutions and ensure they are technically feasible /liliDevelop best practices, reusable templates, reference architectures, sizing guidelines, and RFP response content to improve proposal quality and response speed /liliStay current on AI infrastructure trends, including GPU roadmap changes, high-speed networking, liquid cooling, cluster management, and AI software ecosystems /liliRequired Qualifications /liliBS/MS in Computer Science, Computer Engineering, Electrical Engineering, or other related engineering fields. Individuals with other backgrounds will also be considered if sufficient knowledge demonstrated in the topics listed below /lili10+ years of experience in data center infrastructure, solution architecture, systems engineering, pre-sales engineering, or technical consulting /liliFamiliarity with Python or other scripting language and automation tools, and infrastructure-as-code for solution validation or design support /liliFamiliarity with datacenter networking, high-speed optical interconnections, transceiver and fiber form factors, and their respective interoperability models /liliStrong knowledge of high-performance networking for AI clusters, such as InfiniBand, RoCE, networking operating systems, and common Day 0/Day 1 networking protocols (ZTP, DHCP, LLDP, SNMP, etc.) /liliKnowledge of liquid cooling, CDU, high-density rack design, PDU, busway, and modern AI data center power/cooling constraints /liliExperience with large scale AI training and inference workloads, including LLM infrastructure pipeline and capacity planning /liliWillingness to travel up to 10% for customer meetings, technical workshops, partner engagements, and industry events /liliWillingness to continuously learn new GPU, networking, and data center technologies /liliPreferred Qualifications /liliMS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or other related engineering fields /lili5+ years of experience preparing or contributing to RFP/RFQ responses, including technical compliance, solution documentation, BOM development, and customer-facing architecture content, ideally on NVIDIA HGX or DGX platforms /liliWorking knowledge of cluster software and management environments such as Linux, Slurm, Kubernetes, Docker, NVIDIA Infrastructure Controller (NICo), NVIDIA Mission Control, ROCm, or related tools /liliDeep understanding of modern GPU server architectures, including NVIDIA and/or AMD accelerator-based systems /liliFamiliarity with hyperscaler datacenter and operation environment. Proven experience in working with hyperscaler/NeoCloud/ other datacenter inf
