NVIDIA

NVIDIA

Posted via Workday

Senior Solutions Architect, Ethernet Networking - NVIS

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
6 Locations, Virginia, United States
Work arrangement
Remote
Employment
Full-time
Education
Bachelor's

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Role Summary

AI-generated

This role designs and delivers Ethernet and routing solutions for customer data centers under a Plan, Design, & Implement framework. It supports server infrastructure, accelerated computing, and GPU-enabled AI workloads, with customer-site travel for initial configuration.

What You'll Do

  • Design, architect, configure, and test Ethernet networking solutions for customers.
  • Develop network architectures, switch-fabric configurations, and automation scripts tailored to customer needs.
  • Implement and validate data center network configurations, including lab testing and performance monitoring.
  • Gather customer requirements and prepare methods of procedure, deployment documents, and project handover materials.
  • Travel to customer data centers to perform initial configuration work.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires a bachelor's degree in Engineering, Computer Science, Mathematics, Physics, or equivalent experience; 10+ years of networking fundamentals and data center architecture experience; and experience with data center fabrics, BGP, VxLAN, EVPN, network troubleshooting, Linux administration, HPC network storage, customer-facing deployments, and network automation using Ansible, Salt, and Python. Requires strong English communication and presentation skills.

Required

  • 5+ years designing and building network fabrics for scalable data center compute clusters, including CLOS and spine-leaf architectures.
  • 5+ years of BGP, VxLAN, and EVPN network design and troubleshooting.
  • 8+ years of network troubleshooting using packet sniffers and analysis tools.
  • 6+ years of Linux administration, including kernel drivers, PCIe devices, system-level diagnostics, and computer hardware architecture.
  • Experience with HPC network storage technologies and simulating and validating customer network topologies in lab environments.
  • 6+ years of direct customer-facing experience in network requirements gathering, analysis, project planning, and deployment; 4+ years in...
  • 3+ years of network automation using Ansible, Salt, and Python scripting.
  • Willingness to travel domestically and internationally up to 25% and work non-standard hours as needed.

Preferred

  • Strong social and collaboration skills and accountability for results.
  • Experience with Kubernetes and Docker.
  • Familiarity with networking simulation tools, including NVIDIA Air, GNS3, or EVE-NG.
  • Experience with network and server management tools such as Grafana, Prometheus, or Datadog.
  • A personal Git repository with Python coding examples and experience using AI tools to improve work quality and meet project timelines.

Original job description

Content provided by the employer

As a key member of the NVIDIA Infrastructure Specialists Solutions Architecture team, your role involves spearheading the conception, development, and execution of ground-breaking data center networks for NVIDIA customers under the Plan, Design, & Implement (PDI) framework. You will play an important role in advancing comprehensive technology solutions for our strategic clientele in web2.0, cloud, HPC AI, and enterprise datacenter domains. Additionally, you will be tasked with identifying areas for improvement in business technology, providing valuable insights, and furnishing recommendations to both marketing and engineering teams to improve our overall product strategy.

What you'll be doing:

  • Providing Ethernet and routing expertise to customers during project delivery to design, architect, configure and test Ethernet networking solutions

  • Work in multi-functional teams to provide Ethernet networking expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications

  • Crafting and evaluating DevOps automation scripts for network operations, designing architectures, and developing switch fabric configurations.

  • Implementing tasks related to network configuration and validation for data centers.

  • Create Methods of Procedure and deployment documents

  • Validate network architectures and configs in the lab

  • Create network automation scripts and customize them to specific customers' needs utilizing AI tools

  • Interact directly with customers to obtain required information to design and build optimal solutions

  • Use software tools to validate and monitor network performance

  • Create project documents to hand over to the customer upon project completion

  • Travel onsite to the customers' data Centers to perform initial configuration work

What we need to see:

  • Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, or equivalent experience, with 10+ years of expertise in networking fundamentals including TCP/IP, Switching, Routing, and data center architecture.

  • 5+ years of hands-on experience designing and building network fabrics for scalable data center compute clusters, including CLOS and spine-leaf architectures.

  • Expert-level proficiency in BGP, VxLAN, and EVPN for network design and troubleshooting (5+ years), with strong overall Ethernet/TCP/IP switching and routing experience (10+ years).

  • Advanced network troubleshooting skills using packet sniffers and analysis tools (8+ years).

  • Strong Linux administration background including kernel drivers, PCIe devices, system-level diagnostics, and computer hardware architecture (6+ years).

  • Experience with High Performance Compute (HPC) network storage technologies and the ability to simulate and validate customer network topologies in lab environments.

  • 6+ years of direct customer-facing experience in network requirement gathering, analysis, project planning, and deployment, with 4+ years in consulting or technical support roles.

  • Proficiency in network automation using Ansible, Salt, and Python scripting (3+ years).

  • Excellent communication and presentation skills in English, with the ability to convey complex technical concepts to both internal and external stakeholders.

  • Self-motivated team player capable of independently prioritizing tasks, with willingness to travel domestically and internationally up to 25% and work non-standard hours as needed.

Ways to stand out from the crowd:

  • Demonstrate strong social and collaboration skills as well as accountability for results.

  • Experience with Kubernetes and Docker

  • Familiarity with networking simulations tools, experience with NVIDIA Air, GNS3, EVE-NG

  • Experience with network and server management tools like Grafana, Prometheus, Datadog, etc.

  • Personal Git repository with examples of coding expertise in Python and experience with AI tools to boost work quality and meet project timelines

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

#BuildTheAIFactory

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.