Senior Solutions Architect - Networking

Reposted 14 Days Ago
Be an Early Applicant
Hiring Remotely in WA
Remote
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for building AI/HPC infrastructure, supporting large-scale AI clusters, and engaging in the lifecycle of networking services. Requires strong customer focus and interpersonal skills.
Summary Generated by Built In

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA CSP Networking SA team. CSPs and Hyperscalers around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

What you'll be doing:

  • Primary responsibilities will include building AI/HPC infrastructure for a large CSP customer and their endusers.

  • Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.

  • Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

  • Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

  • Provide feedback to internal teams such as opening bugs, documenting workarounds, drive customer feature requirements and suggesting improvements.

What we need to see:

  • BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

  • 8+ years of professional experience in networking fundamentals, TCP/IP stack, InfiniBand fundamentals and data center architecture

  • Proficiency in configuring, testing, validating, and resolving issues in Ethernet and InfiniBand networks, especially in medium to large-scale HPC/AI environments.

  • Advanced knowledge of HPC/AI networking protocols.

  • Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

  • Strong focus on customer needs and satisfaction.

  • Self-motivated with leadership skills to work collaboratively with customers and internal teams.

  • Strong written, verbal, and listening skills are essential.

Ways to stand out from the crowd:

  • Familiarity with cloud networks (AWS, GCP, Azure) is a plus.

  • Linux or Networking Certifications.

  • Knowledge in link level performance and diagnostics.

  • Experience with High-performance computing architectures.

  • Experience with GPU (Graphics Processing Unit) focused hardware/software.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 17, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Cumulus Linux
Eos
Ethernet
Infiniband
iOS
Junosos
Networking
Sonic
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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