Senior Solutions Architect - NVIDIA Cloud Partners

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today the company is focused on the next era of computing driven by AI and accelerated GPU infrastructure. This role sits on the NVIDIA solutions architecture team and supports customers and cloud partners as they design, deploy, and operate large-scale AI and HPC GPU infrastructure.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and operate NVIDIA hardware and software solutions.
• Partner with Sales Account Managers and business leads to identify and secure opportunities for NVIDIA products and solutions.
• Act as the primary technical contact for customers through the full customer lifecycle during development, construction, and production of large GPU cloud infrastructure.
• Conduct regular technical customer meetings covering project/product details, feature discussions, introductions to new technologies, and debugging sessions.
• Work with customers to build proof-of-concepts (PoCs) by designing and deploying networking and compute infrastructure.
• Prepare and deliver technical content to customers, including presentations and workshops.
• Analyze and develop joint solutions addressing customer performance and scaling issues.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other engineering fields, or equivalent experience.
• 12+ years of solution engineering, sales engineering, or cloud engineering experience working directly with partners and customers.
• Demonstrated motivation and ability to own and drive technical engagements across the full customer lifecycle.
• Experience crafting and deploying large-scale cluster environments.
• Practical expertise in data center design, development, and execution for AI and HPC workloads.
• Familiarity with GPU systems at scale, performance testing, and AI benchmarking.
• Practical involvement in cluster administration and orchestration (examples called out: SLURM, Kubernetes/K8s).
• Efficient time management and strong written and verbal communication skills (presentations, documentation, workshops).

Technologies & tools mentioned

• NVIDIA GPUs and related hardware (networking components: Ethernet/InfiniBand, storage)
• NVIDIA systems/software examples: NCCL, DCGM, UFM, Mission Control, Base Command Manager
• Cluster orchestration/management: SLURM, Kubernetes (K8s)
• Large-scale cluster performance/benchmarking and PoC development

Ways to stand out

• Practical familiarity with NVIDIA hardware within extensive AI and HPC cluster settings.
• Practical knowledge of NVIDIA systems technology (NCCL, DCGM, UFM, Mission Control, Base Command Manager).
• Experience with performance testing, AI benchmarking, and cluster administration.

Compensation & Benefits

• Base salary ranges by level:
  • Level 5: 224,000 USD - 356,500 USD
  • Level 6: 272,000 USD - 425,500 USD
• Eligible for equity and company benefits.

Additional information

• Applications accepted at least until October 19, 2025.
• NVIDIA is an equal opportunity employer and values diversity in its workforce.