Hybrid Senior Solutions Architect, AI Infrastructure

Posted 3 weeks ago

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About the role

  • Senior Solutions Architect driving deployment of AI hardware and software technologies in customer data centers. Collaborating with teams to solve complex engineering challenges and enhance product roadmaps.

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.
  • You will need to 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.
  • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions.
  • Build custom product demonstrations and POCs for solutions that address critical business needs of our customers.
  • Analyze and debug compute/network configuration, performance issues to deliver performant clusters.

Requirements

  • 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, Kubernetes.
  • Effective time management and capable of balancing multiple tasks.
  • Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc.

Benefits

  • equity
  • benefits

Job title

Senior Solutions Architect, AI Infrastructure

Job type

Experience level

Senior

Salary

$184,000 - $287,500 per year

Degree requirement

Bachelor's Degree

Location requirements

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