Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure
Nvidia
As a Solutions Architect at NVIDIA, you will design and guide AI/HPC GPU infrastructure in large datacentres, focusing on power distribution, cooling, and MEP integration. You’ll work with cloud partners and customers to shape scalable, efficient GPU deployments and provide feedback to product and engineering teams. This role combines hands-on technical leadership with collaboration across sales, partners, and engineering to tackle complex datacentre challenges. You’ll help drive modern, modular datacentre solutions and influence future infrastructure strategy.
Responsibilities- Design, implement, and operationalise NVIDIA hardware/software solutions with datacentre power, cooling, and MEP integration
- Collaborate with Sales and partners to identify and close opportunities for datacentre upgrades and expansion
- Serve as technical lead for customers through development, construction, and production of large GPU cloud infrastructure
- Lead technical meetings to discuss project details, new technologies, and datacentre challenges like power and cooling optimization
- Develop PoCs addressing business needs with robust networking, compute, and MEP infrastructure for AI/HPC workloads
- Prepare and deliver technical content (presentations, workshops) on datacentre best practices, power/cooling optimization, and MEP requirements
- Analyze and troubleshoot datacentre bottlenecks to improve performance and reliability
- Advise customers on evolving datacentre design trends (modular construction, efficient power, advanced cooling, MEP innovations)
- Provide feedback to engineering/business teams to enhance future NVIDIA products and infrastructure
- BS/MS/PhD in Mechanical/Electrical Engineering or related field or equivalent experience
- 8+ years in Solution Engineering or related roles with customers and partners
- Ability to drive technical engagements through full customer lifecycle
- Experience with at least one of the datacenter certifications (ATD, CDCAP, CDCDP, CDCEP, CDCMP, CDCSP)
- Proven experience in large-scale cluster environments and AI/HPC datacentre design
- Strong communication and presentation skills
- Time management and multitasking abilities
- Customer-facing and collaborative mindset
- Datacentre design and power distribution
- Cooling strategies and MEP integration
- AI/HPC GPU infrastructure deployment
Reference: WJ-747_30173478