Manager, Solutions Architecture, Emerging AI labs

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CATXCOCA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 78 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k

This role $290k

$139k $380k

below market most similar roles pay here above market

This role pays more than 94% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $290k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Manager, Solutions Architecture, Emerging AI labs

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Manager, Solutions Architecture - Emerging AI labs leads a team of GPU, networking, and software solution architects and engineers within the NVIDIA SA organization. This role involves recruiting, mentoring, and managing a distributed team to design, debug, and deploy large-scale AI hardware and software technologies into production for strategic AI-native customers and emerging AI labs. Key responsibilities include driving end-to-end solution deployments, performing deep-dive debugging, and shaping product roadmaps through customer feedback. The position requires expertise in CPU/GPU server architecture, NICs, Linux, kernel drivers, and data center networking using Ethernet or InfiniBand switches. Candidates must possess skills in cluster performance troubleshooting, system software, and C/C++. The work focuses on solving complex compute and network configuration challenges for frontier-model infrastructure and large-scale supercomputing environments.

Skills

GPU AI Networking CUDA InfiniBand Ethernet RoCE Linux C++ Kernel Drivers System Software Cluster Bring-up Virtualization Cloud-native Networking ARM Data Center Infrastructure Systems Engineering Debugging Reference Designs

What you'll do

Recruit and manage a team of solutions architects and engineers for large-scale GPU and AI networking deployments.
Lead end-to-end solutions deployments for strategic AI-native customers and emerging AI labs.
Perform deep-dive debugging and technical reviews for complex compute and network configurations.
Support server, network, and cluster bring-up, including on-site data center work when required.
Synthesize customer requirements to influence product roadmap priorities and reference design packaging.
Provide senior technical expertise on advanced GPU and network systems to key customers.
Set team priorities and allocate resources to ensure high-quality delivery across multiple concurrent projects.

What we're looking for

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
Experience in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles.
2+ years of experience leading or mentoring engineers or architects as a formal manager or strong tech lead.
System-level expertise in CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
Experience with data center networking including Ethernet and/or InfiniBand switches, NICs, fabrics, and cluster performance troubleshooting.
Proven ability to lead technical teams, set priorities, and drive complex projects from design through production.
Direct people management and recruiting experience for geographically distributed technical teams.
Experience with C/C++, Linux kernel, and drivers (preferred).

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