Senior Solutions Architect - Enterprise AI

Reposted 7 Days Ago
2 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves designing scalable datacenter solutions for AI systems, collaborating with experts, and crafting optimized cluster architectures for enterprise environments.
Summary Generated by Built In

We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems.

Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.

What you’ll be doing:

  • Own the creation of scalable datacenter solutions for enterprise AI/ML systems

  • Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures

  • Create and validate cluster designs, optimizing them for enterprise facilities

  • Collaborate closely with other experts in compute, software, and storage to drive innovation

  • Lead multi-disciplinary projects, addressing high-level goals and complex challenges

  • Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers

  • Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence

  • Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks

  • Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

What we need to see:

  • Bachelor's degree or equivalent experience

  • 8-10 years+ years hardware or infrastructure architecture experience

  • Cluster Design Proficiency: Expertise in architecting cluster designs for on-prem cloud-native platforms

  • Architectural Design Skills: Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience

  • Network Evaluation Expertise: Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads

  • Cloud-Native Knowledge: Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain

  • Networking Patterns Mastery: Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures

  • Effective Communication: Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences

  • Technical Leadership in Cluster Design: Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches.

  • System-Level Thinking: Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs.

Ways to stand out from the crowd:

  • Relevant vendor networking certifications : Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications

  • Wider Infrastructure Expertise: Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture

  • TCO Analysis Skills: Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 21, 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

AI
Cloud-Native Architecture
Ethernet
Infiniband
Ml
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Atlassian Logo Atlassian

Senior User Researcher

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
San Francisco, CA, USA
11000 Employees
130K-203K Annually

Starburst Logo Starburst

University Talent Network

Big Data • Cloud • Information Technology • Software • Database • Analytics • Big Data Analytics
Easy Apply
Remote
United States
481 Employees

Sysco LABS Logo Sysco LABS

Mobile Quality Engineer

Cloud • eCommerce • Food • Mobile • App development
Remote
United States
250 Employees
95K-142K Annually

Sysco LABS Logo Sysco LABS

Senior Android Engineer

Cloud • eCommerce • Food • Mobile • App development
Remote
United States
250 Employees
118K-196K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account