AI Solutions Architecture Manager: Lead GPU Labs

Nvidia Corporation in

Santa Clara (CA)

Hybrid

USD 224,000 - 357,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

NVIDIA is seeking a hands-on Manager of Solutions Architecture for AI Labs (Finance) to lead a team of solution architects and engineers. You will drive end-to-end deployments in customer data centers, shaping roadmaps and ensuring top-quality delivery across multiple projects.

You will be the senior technical lead for advanced GPU and network systems, coordinating with Product Management and Sales while mentoring globally distributed engineers and coordinating on-site deployments as needed.

Qualifications

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers.
Direct people management & recruiting experience for geographically distributed technical teams.
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, tooling, and cluster performance troubleshooting.
Proven ability to lead technical teams, set priorities, and drive complex projects from design through production.
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.

Responsibilities

Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments for frontier 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 a strategic AI lab. 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.
Partner with customer engineering and security stakeholders to understand security requirements and translate them into scalable AI infrastructure.