NVIDIA Corporation

Solutions Architect, AI Factory Infrastructure DevOps

NVIDIA Corporation$152K — $287K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science or equivalent experience.
  • 5+ years of experience in high-tech IT companies, particularly with NCP, CSP, site reliability, and virtualization technologies.
  • 4+ years of working with Kubernetes, Slurm, Docker, etc.
  • Proficiency in AI tools like ClauD, Codex, Perplexity, and monitoring tools including Redfish, Grafana, and Prometheus.
  • Strong multitasking abilities and effective time management skills.
  • Excellent written and oral communication in English, with an ability to collaborate with technical teams and management.

Responsibilities

  • Architect and scale high-performance AI infrastructure using NVIDIA GPU products in data centers or cloud environments.
  • Support sales teams as a technical specialist on GPU and networking products to achieve successful deployments.
  • Build and maintain strong technical relationships with customer engineers and management.
  • Analyze customer requirements in the CSP/OEM AI sector to effectively implement NVIDIA technologies.
  • Provide on-site technical support for hardware and software challenges related to deep learning inference.
  • Oversee the product lifecycle from design through end-of-life, ensuring successful execution and customer satisfaction.
  • Train sales teams and channel partners on technical aspects of NVIDIA products.

Benefits

  • Equity participation opportunities.
  • Eligibility for comprehensive benefits package.
Full Job Description
We seek a Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution.

What you'll be doing:
  • Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
  • Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins.
  • Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
  • Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions.
  • Provide on-site support to solve hardware and software problems, with a focus on deep learning inference.
  • Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction.
  • Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site.
  • Offer technical and sales training to direct sales teams and channel partners.
  • The expected travel requirement is approximately 25-30%.


What we need to see:
  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
  • 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM).
  • 4+ years of working experience with Kubernetes, Slurm, Docker, etc.
  • Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.
  • Remarkable talent for effectively handling multiple initiatives and priorities.
  • Strong time-management and social skills for coordinating complex projects.
  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.


Ways to stand out from the crowd:
  • This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure.
  • Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control).
  • Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus.
  • Experience working with OEMs in industrial, military, and ruggedized computing spaces.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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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