Skip to content

Senior Solutions Architect – Enterprise AI

US, CA, Santa Clara; US, Remote
Full Time Remote

Summary

Job Description

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

Go to company profile