NVIDIA Corporation

Senior Solutions Architect - Enterprise AI

NVIDIA Corporation$184K — $356K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience
  • 8-10 years+ of hardware or infrastructure architecture experience
  • Expertise in architecting cluster designs for on-prem cloud-native platforms
  • Domain proficiency in networking with emphasis on scalability, security, and resilience
  • Ability to evaluate various network types and conduct research under different workloads
  • Deep understanding of cloud-native architecture concepts, especially for AI performance
  • Mastery of networking patterns at multiple levels of design

Responsibilities

  • Own the creation of scalable datacenter solutions for enterprise AI/ML systems
  • Craft detailed requirements for innovative infrastructure patterns and datacenter architectures
  • Create and validate optimized cluster designs for enterprise facilities
  • Collaborate with experts in compute, software, and storage to drive innovation
  • Lead multi-disciplinary projects addressing complex challenges and high-level goals
  • Engineer on-premises cloud-native solutions integrating with diverse cloud providers
  • Drive technical excellence in compute and hardware architecture

Benefits

  • Generous benefits package
  • Eligibility for equity
  • Work with some of the brightest minds in technology
  • Opportunities for creative and autonomous work environment
  • Commitment to diversity and equal opportunity employment
Full 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


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 June 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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