Manager, Solutions Architecture - Emerging AI labs

Nvidia Corporation in; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Remote-friendly

Job summary

NVIDIA Corporation is seeking a hands-on Manager, Solutions Architecture for Emerging AI labs. Lead a team of GPU, networking & software solution architects to design, debug, and deploy AI hardware and software in customer data centers.

You will drive technical leadership across end-to-end deployments and contribute to product roadmap through customer feedback. You will recruit and mentor engineers, provide SME in GPU and network systems, and guide complex configurations while coordinating with

Qualifications

• Requires advanced degree or equivalent experience in engineering fields.
• 8+ years in Systems/Solutions/Field Engineering, Network or Data Center Engineering.
• Proven leadership or mentoring experience.
• Strong cross-functional collaboration with PM, Sales and Engineering.

Responsibilities

• Lead a team of solutions architects and engineers on large-scale GPU and AI networking deployments.
• Provide deep SME on GPU/network systems and guide complex compute and network configurations.
• Oversee on-site data center bring-up, including server, network and cluster deployments.
• Synthesize customer requirements and influence roadmap priorities and reference designs.
• Expand NVIDIA solution engagements with strategic AI-lab customers.

Skills

Team leadership

Executive communication

Project management

Customer interactions

Education

BS/MS/PhD in Electrical/Computer Engineering, CS, Physics

Tools

CUDA

Linux kernel

InfiniBand/NICs/ROCE

Job description

Manager, Solutions Architecture - Emerging AI labs (Finance)

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!

NVIDIA is 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 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 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.

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.