Manager, Solutions Architecture

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$224,000–$356,500 / yr
Posted
32 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $290k
$126k most similar roles pay here $381k

This role pays more than 95% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $199k for comparable roles.

Based on 239 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Manager, Solutions Architecture

Manager, Solutions Architecture - Emerging AI labs leads a team of GPU, networking, and software solution architects and engineers to design, debug, and deploy new AI hardware and software technologies into production for strategic AI-native customers. The role involves recruiting and managing a distributed team, setting priorities, mentoring staff, and providing deep subject-matter expertise in advanced GPU and network systems. Key responsibilities include overseeing complex compute and network configuration, performing performance debugging, and collaborating with Product Management to influence roadmap priorities based on customer feedback. Candidates must possess system-level expertise in CPU/GPU server architecture, NICs, Linux, kernel drivers, and data center networking using Ethernet or InfiniBand. Required skills include experience with C/C++, CUDA, RoCE, and cluster bring-up. The role addresses the technical challenge of deploying large-scale infrastructure for frontier-model development within emerging AI labs.

What you'll do

  • Recruit, manage, and mentor a team of solutions architects and engineers focused on large-scale GPU and networking deployments.
  • Lead the design, debugging, and deployment of AI hardware and software technologies in customer data centers.
  • Serve as the senior technical point of contact for strategic AI-native customers and emerging AI labs.
  • Perform hands-on deep-dive debugging and complex configuration troubleshooting for compute and network systems.
  • Support server, network, and cluster bring-up, including performing on-site data center work when necessary.
  • Synthesize customer requirements to influence product roadmaps and the packaging of reference designs.
  • Manage project priorities and resource allocation across multiple concurrent technical projects.

What we're looking for

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field 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 technical 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, and cluster performance troubleshooting.
  • Proven ability to lead technical teams, set priorities, and manage projects from design through production.
  • Direct experience in people management and recruiting for geographically distributed technical teams.
  • Experience with large clusters, supercomputing environments, or AI lab infrastructure (preferred); proficiency in C/C++, CUDA, and RoCE (preferred).

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