Solutions Architect – AI Cloud Partners, Datacentre Infrastructure

This is a fully remote position, open to applicants in United Kingdom, +2 more states.

📋 Description

• Collaborate closely with NVIDIA Cloud Partners to design, implement, and operationalize NVIDIA hardware and software solutions that integrate with datacentre power, cooling, and MEP systems.

• Work together with Sales Account Managers and business leaders to identify and secure opportunities for NVIDIA products and solutions.

• Act as the primary technical liaison during customer development, construction, and production of extensive GPU cloud infrastructure.

• Conduct technical meetings with customers covering various topics, including projects, products, new technologies, debugging, power usage, and cooling efficiency.

• Create Proofs of Concept that address networking, compute, and MEP infrastructure requirements for AI and HPC workloads.

• Prepare and deliver presentations and workshops for customers focused on datacentre best practices, power and cooling optimization, and MEP requirements.

• Analyze and develop joint solutions for performance and scaling challenges, including power and cooling bottlenecks.

• Provide guidance to customers on datacentre design trends, modular construction, power management, cooling techniques, and MEP innovations.

• Offer feedback and recommendations to engineering and business teams for future products and infrastructure improvements.

• Assist in ensuring compliance with datacentre electrical, mechanical, and environmental standards and regulations.

⛳️ Requirements

• BS/MS/PhD in Mechanical Engineering, Electrical Engineering, or another related Engineering field, or equivalent experience.

• Over 8 years of experience in Solution Engineering or related Sales Engineering or Cloud Engineering roles, working directly with partners and customers.

• Drive and motivation to manage and lead technical customer engagements throughout the complete customer lifecycle.

• At least one datacentre certification is required: ATD, CDCAP, CDCDP, CDCEP, CDCMP, or CDCSP.

• Experience in designing and deploying large-scale cluster environments.

• Practical knowledge of datacentre design, development, and execution for AI and HPC applications.

• Strong time management skills with the ability to handle multiple tasks simultaneously.

• Ability to clearly communicate ideas through documentation and presentations.

• Familiarity with large datacentre design, power distribution, and liquid-to-chip cooling solutions.

• Familiarity with NVIDIA hardware, including GPUs, Ethernet/InfiniBand networking components, and storage in extensive AI and HPC cluster environments.

• Background in large-scale GPU systems, including performance testing and AI benchmarking.

• A creative and independent approach to work.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits package.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.

• Flexible work arrangements and a healthy work-life balance.