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Senior Solution Network Architect Enterprise AI

NVIDIA

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Original Job Summary

About the Role

Join our NVIDIA Solutions Architecture team as a Senior Solution Network Architect Enterprise AI. In this role, your expertise in networking, compute hardware, storage, and cloud-native software is pivotal to designing and deploying scalable datacenter architectures for enterprise-grade AI systems.

Key Responsibilities

  • Deploy scalable datacenter networking for enterprise AI/ML systems.
  • Validate cluster designs and optimize deployments for enterprise facilities.
  • Collaborate with network, compute, software, and storage experts.
  • Engineer on-premises cloud-native solutions integrating with various CSPs.
  • Automate repetitive networking activities and perform TCO analysis.

Required Skills & Experience

  • Bachelor's degree or equivalent with 8-10+ years in infrastructure architecture.
  • Deep knowledge of Ethernet, InfiniBand, TCP/IP, VLAN, VXLAN, BGP, EVPN, MPLS, QoS.
  • Experience in on-prem cloud-native platforms and datacenter architectures.
  • Proficiency with Linux, Python, Bash, and infrastructure as code tools (Ansible, Terraform).
  • Hands-on experience with NVIDIA networking products like Mellanox switches and Cumulus Linux.

Additional Information

This role involves leading cross-disciplinary projects in a multi-timezone environment, developing clear documentation, and showcasing expertise in technical and operational excellence. Salary is based on experience and location with additional equity and benefits provided. Applications accepted until September 21, 2025.

Key skills/competency

  • Networking
  • Datacenter
  • Cloud-native
  • AI/ML
  • Automation
  • Linux
  • Python
  • TCO analysis
  • Infrastructure as code
  • Collaboration

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant networking and AI experience.
  • Research NVIDIA: Study their culture, products, and recent projects.
  • Prepare detailed examples: Showcase experience with cloud-native technologies.
  • Practice technical interviews: Focus on network and system design questions.

📝 Interview Preparation Advice

Technical Preparation

Review network protocol fundamentals and best practices.
Practice datacenter and cloud infrastructure design scenarios.
Familiarize with NVIDIA networking products and tools.
Update skills with infrastructure automation frameworks.

Behavioral Questions

Describe a challenging project and resolution.
Explain teamwork in distributed project settings.
Discuss handling conflicting project priorities.
Share an example of independent decision-making.