Senior Solutions Architect, AI Infrastructure

Jobtailor; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking an experienced Solution Architect Engineer to work with NVIDIA AI Native and Consumer Internet customers on large data center GPU server deployments. You will guide discussions on network design, compute/storage bring-up, and serve as a trusted advisor for strategic customers.

Applicants should have a PhD/masters or higher in a relevant engineering field and 8+ years in systems engineering, with expertise in CPU/GPU server architecture, Linux, and kernel drivers, plus

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent
• 8+ years of Systems/Solution Engineering experience
• System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers
• Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)
• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes
• Effective time management and capable of balancing multiple tasks
• Strong verbal and written communication skills; able to share ideas and code clearly through documents, presentations, etc.

Responsibilities

• Work with NVIDIA AI Native and Consumer Internet customers on large data center GPU server deployments as Solution Architect Engineer.
• Guide customer discussions on network design, compute/storage and bring up of server/network/cluster deployments.
• Visit customer data centers during bring up phase.
• Demonstrate subject matter expertise in advanced GPU and network systems as trusted advisor to NVIDIA's strategic customers.
• Bring customer-specific requirements to product teams to guide product roadmap features.
• Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
• Work closely with the GPU/Network Systems Engineering, Product Management and Sales teams.
• Act as a customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
• Build custom product demonstrations and POCs for solutions that address critical business needs of customers.
• Analyze and debug compute/network configuration and performance issues to deliver performant clusters.

Skills

CPU/GPU server architecture

Linux

Kernel drivers

Networking knowledge

Verbal and written communication

Project coordination

Education

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent

Tools

Docker

Kubernetes

Job description

Responsibilities

• Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer.
• Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments.
• Visit customer data center during bring up phase.
• Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers.
• Bring customer‑specific requirements to product teams to guide product roadmap features.
• Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.
• Work closely with the GPU/Network Systems Engineering, Product Management and Sales teams.
• Act as a customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
• Build custom product demonstrations and POCs for solutions that address critical business needs of customers.
• Analyze and debug compute/network configuration and performance issues to deliver performant clusters.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience.
• System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers.
• Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling).
• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes.
• Effective time management and capable of balancing multiple tasks.
• Strong verbal and written communication skills; able to share ideas and code clearly through documents, presentations, etc.