NVIDIA

NVIDIA

Posted via Workday

Solutions Architect - Rack Scale AI Systems

Posted Aug 5, 2026

Role at a glance

Salary
$208K – $414K/yr
Location
2 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
12+ years of relevant experience.
Education
Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

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Role Summary

AI-generated

The Solutions Architect will work on NVIDIA's global IPP Cloud Infrastructure Team, partnering with product and engineering groups to support infrastructure for NVIDIA hardware and technologies. The role focuses on designing, deploying, and optimizing hosted and private cloud environments that support product onboarding, multi-site deployments, and development workflows.

What You'll Do

  • Work with NVIDIA Product Teams to understand new product roadmaps and requirements, primarily for Rack Scale AI Products.
  • Find optimum solutions to deploy products in a datacenter or lab environment using design techniques, services, and tools.
  • Assist in the rollout and deployment of development features supporting the latest NVIDIA hardware and technologies.
  • Define and implement full-scale solutions for product onboarding into hosted and private cloud environments.
  • Solve problems involving multi-site deployments and improve the quality and time to market of product deployments.
  • Integrate and optimize cluster deployment methods and manage software stack deployments, including provisioning services into the cloud.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience; 12+ years of relevant experience; 6+ years of Linux and scripting experience; solid background on OS kernels and system engineering; strong technical skills in embedded systems, orchestration and automation systems, data centers, and cloud architecture; strong problem-solving ability and experience in product engineering, failure analysis, and hardware or test design; understanding of dense data center design including compute, storage, and networking.

Required

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience
  • 12+ years of relevant experience
  • 6+ years of Linux and Scripting experience
  • Solid background on OS Kernels and system engineering
  • Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture
  • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design
  • Understanding of dense datacenter design including compute, Storage and networking

Preferred

  • Understanding of software engineering principles and enterprise system architecture
  • Experience with gpu and compute clusters administration & automation
  • Experience in large scale QA environments, for product bring ups
  • Special skills in large-scale computing and cluster computing(MPI)
  • Data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience

Original job description

Content provided by the employer

NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?

What you'll be doing:

  • Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.

  • Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.

  • Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.

  • Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.

  • Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.

  • Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products.

  • Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.

  • Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • 6+ years of Linux and Scripting experience.

  • Solid background on OS Kernels and system engineering.

  • A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment.

  • Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills.

  • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.

  • Understanding of dense datacenter design including compute, Storage and networking.

Ways to stand out from the crowd:

  • Understanding of software engineering principles and enterprise system architecture.

  • Experience with gpu and compute clusters administration & automation.

  • Experience in large scale QA environments, for product bring ups.

  • Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. Widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about new technologies we want you on our team!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.