Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure

Role overview

What you will do

• 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 the development, construction, and production of GPU cloud infrastructure.
• Guide customers on datacentre power distribution, cooling strategies, and MEP integration across the customer lifecycle.
• 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 presentations and workshops on datacentre best practices, power and cooling optimisation, and MEP requirements.
• Develop joint solutions for performance and scaling issues, including power and cooling bottlenecks and infrastructure reliability.
• Advise on datacentre design trends, modular construction, power management, cooling techniques, and MEP innovations.
• Provide feedback and recommendations to engineering and business teams for future NVIDIA products and infrastructure.
• Support compliance with electrical, mechanical, and environmental datacentre standards and regulations.

What we need to see

• BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, another engineering field, or equivalent experience.
• 12+ years of experience in solution engineering, sales engineering, cloud engineering, or a similar field working directly with partners and customers.
• Ability to own and drive technical engagements throughout the full customer lifecycle.
• At least one requested datacentre certification: 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 the ability to balance multiple tasks.
• Ability to communicate ideas clearly through documents and presentations.

Ways to stand out

• Practical familiarity with large datacentre design, power distribution, and liquid-to-chip cooling.
• Practical familiarity with NVIDIA hardware, including GPUs, Ethernet or InfiniBand networking components, and storage.
• Background with at-scale GPU systems, including performance testing and AI benchmarking.
• Creativity and autonomy in solving customer and infrastructure challenges.

Workplace

• The source metadata classifies the role as onsite in Dubai.