NVIDIA Corporation

Manager, Solutions Architecture - Emerging AI labs

NVIDIA Corporation$224K — $356K *
US-Anywhere
+ 3 other locationsRemote
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Engineering or related field or equivalent experience.
  • 8+ years in Systems/Solutions Engineering with 2+ years in a leadership role.
  • Expertise in CPU/GPU architecture, network systems, and data center infrastructure.
  • Proven ability to manage technical projects and teams effectively.
  • Strong communication skills suitable for presentations and customer interactions.
  • Experience recruiting and managing geographically distributed teams.

Responsibilities

  • Recruit and lead a team focused on large-scale GPU and AI deployments.
  • Provide expert technical support for AI-native customers and emerging labs.
  • Guide architectural discussions and support data center infrastructure setup.
  • Collect and analyze customer requirements to influence product development.
  • Identify opportunities to expand NVIDIA's engagement with strategic clients.

Benefits

  • Open to remote work locations.
  • Occasional travel (up to 20%) for customer visits.
  • Opportunity to work on cutting-edge AI hardware and software technologies.
  • Access to equity options.
  • Engage with industry-leading technologies and clients.
Full Job Description
NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic AI-native customers and emerging AI labs, while directly contributing to solution design and deep-dive debugging and product roadmap shaping through customer feedback.

What you will be doing:
  • Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments for emerging AI labs. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts.
  • Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic AI-native customers and emerging AI labs. Personally lead and guide complex compute and network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters.
  • Guide your team as they lead compute, network, and software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed.
  • Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU and Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions.
  • Seek opportunities to expand NVIDIA's solution engagements across strategic AI-lab customers.


What we need to see:
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
  • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).
  • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. Experience with data center networking including Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting. Familiarity with data center infrastructure (power, cooling, deployment constraints).
  • Proven ability to lead technical teams, set priorities, and drive complex projects from design through production. Demonstrated success working with Product Management, Sales, and Engineering.
  • Strong time management skills and ability to balance planning with hands-on support where needed.
  • Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.
  • Direct people management & recruiting experience for geographically distributed technical teams.


Ways to stand out from the crowd:
  • Track record leading bring-up and deployment of large clusters or supercomputing environments.
  • Background working with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing roles (field engineering, or pre/post-sales architecture).
  • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers.
  • Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions.
  • Familiarity with virtualization and cloud-native networking concepts.


We make extensive use of conferencing tools, but occasional travel (up to 20%) is required for on-site customer visits and industry events. We are open to remote work locations and look forward to have you join 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 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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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