System Engineer als Solution Architect (m/w/d)

von: Lenovo (Schweiz) GmbH

We use cookies and similar technologies to personalize content and ads and analyze our trafficAdvertisingOur 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. 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. Design AI cluster solutions based on the latest NVIDIA and AMD GPU hardware platformsAnalyze 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 processDesign and deliver compelling technical presentations, POC, or demos that clearly articulate Lenovo’s competitiveness in customer use casesMentor and provide technical leadership to junior RFP participants and sales engineers on solutions, customer requirements, and common architecture tradeoffsWork with internal engineering, deployment, hardware, networking, and supply chain teams to validate proposed solutions and ensure they are technically feasibleDevelop best practices, reusable templates, reference architectures, sizing guidelines, and RFP response content to improve proposal quality and response speedStay current on AI infrastructure trends, including GPU roadmap changes, high-speed networking, liquid cooling, cluster management, and AI software ecosystemsRequired QualificationsBS/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 below10+ years of experience in data center infrastructure, solution architecture, systems engineering, pre-sales engineering, or technical consultingFamiliarity with Python or other scripting language and automation tools, and infrastructure-as-code for solution validation or design supportFamiliarity with datacenter networking, high-speed optical interconnections, transceiver and fiber form factors, and their respective interoperability modelsStrong 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.)Knowledge of liquid cooling, CDU, high-density rack design, PDU, busway, and modern AI data center power/cooling constraintsExperience with large scale AI training and inference workloads, including LLM infrastructure pipeline and capacity planningWillingness to travel up to 10% for customer meetings, technical workshops, partner engagements, and industry eventsWillingness to continuously learn new GPU, networking, and data center technologiesPreferred QualificationsMS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or other related engineering fields5+ 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 platformsWorking knowledge of cluster software and management environments such as Linux, Slurm, Kubernetes, Docker, NVIDIA Infrastructure Controller (NICo), NVIDIA Mission Control, ROCm, or related toolsDeep understanding of modern GPU server architectures, including NVIDIA and/or AMD accelerator-based systemsFamiliarity with hyperscaler datacenter and operation environment.