Solutions Architect – AI Cloud Partners, Datacentre Infrastructure

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🔥 0 minutes ago

🌐 United Kingdom, France, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Work closely with NVIDIA Cloud Partners to design, implement, and operationalise NVIDIA hardware and software solutions integrated with datacentre power, cooling, and MEP systems • Collaborate with Sales Account Managers and business leads to identify and secure opportunities for NVIDIA products and solutions • Serve as the primary technical contact throughout customer development, construction, and production of extensive GPU cloud infrastructure • Conduct technical customer meetings covering projects, products, new technologies, debugging, power usage, and cooling efficiency • Build Proofs of Concept addressing networking, compute, and MEP infrastructure needs for AI and HPC workloads • Prepare and deliver customer presentations and workshops on datacentre best practices, power and cooling optimisation, and MEP requirements • Analyse and develop joint solutions for performance and scaling issues, including power and cooling bottlenecks • Advise customers on datacentre design trends, modular construction, power management, cooling techniques, and MEP innovations • Provide engineering and business teams with feedback and recommendations for future products and infrastructure • Support compliance with datacentre electrical, mechanical, and environmental standards and regulations

🎯 Requirements

• BS/MS/PhD in Mechanical Engineering, Electrical Engineering, another Engineering field, or equivalent experience • 8+ years in Solution Engineering or similar Sales Engineering or Cloud Engineering roles working directly with partners and customers • Motivation and skills to own and drive technical customer engagements throughout the full customer lifecycle • At least one datacentre certification requested: ATD, CDCAP, CDCDP, CDCEP, CDCMP, or CDCSP • Experience crafting and deploying large-scale cluster environments • Practical expertise in datacentre design, development, and execution for AI and HPC • Efficient time management and ability to balance multiple tasks • Ability to communicate ideas clearly through documents and presentations • Practical familiarity with large datacentre design, power distribution, and liquid-to-chip cooling • Practical familiarity with NVIDIA hardware, including GPUs, Ethernet/InfiniBand networking components, and storage, in extensive AI and HPC cluster settings • Background with large-scale GPU systems, including performance testing and AI benchmarking • Creative and autonomous approach to work