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Manager, Solutions Architecture - Emerging AI labs

NVIDIA· Mgmt, Solutions Architect
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Remote, Santa Clara, CA$224k - $356.5kFull-timePosted 2mo ago

About the role

Hands-on Solutions Architect Manager to lead a team designing, debugging, and deploying new AI hardware and software technologies into production in customer data centers for strategic AI-native customers and emerging AI labs.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:GPU and AI networking deploymentsSystem and network engineering leadership

Benefits

  • equity
  • benefits (details available via NVIDIA benefits page)
Last updated Aug 14, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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