Senior Solution Architect, AI Infrastructure

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: DC
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 30 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k

This role $236k

$136k $304k

below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $155,000–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $195k 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 1463 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior Solution Architect, AI Infrastructure

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The Senior Solution Architect, AI Infrastructure joins the Public Sector Continuous Bring Up team to support government programs during AI transformation. This role involves guiding Public Sector customers through the design, build, deployment, and production of large-scale GPU infrastructure. You will act as a trusted advisor, conducting technical meetings, debugging cluster issues, and preparing reference architectures or workshops. Key responsibilities include analyzing compute and network performance and collaborating with engineering and product teams to align on strategies. Required skills include experience with high-performance networking, CPU/GPU application acceleration, and schedulers like SLURM, LSF, or UGE. You must also possess experience with benchmarking tools such as HPL, NCCL tests, and MLPerf, alongside Kubernetes knowledge and familiarity with InfiniBand or RoCE technologies.

Skills

GPU Infrastructure NVIDIA GPUs InfiniBand RoCE Kubernetes SLURM LSF UGE NCCL MPI MLPerf HPL DCGM UFM Mission Control Base Command Manager Network Design Accelerated Computing

What you'll do

Guide customers on network design, compute, and storage for large-scale GPU infrastructure deployments.
Lead the technical build, deployment, construction, and integration of GPU infrastructure throughout the customer lifecycle.
Analyze and debug compute and network configuration issues to ensure performant cluster delivery.
Conduct regular technical meetings to discuss product roadmaps, debug cluster issues, and introduce new technologies.
Prepare and deliver technical content including presentations, workshops, reference architectures, and tutorials.
Provide constructive feedback to engineering and product teams regarding requirements, documentation, and tools.
Coordinate with partners and OEMs on large data center GPU server and networking system deployments.

What we're looking for

Must be a U.S. Citizen.
BS/MS/PhD in Electrical Engineering, Computer Science, or equivalent experience.
6+ years of experience in Solution Engineering, Sales Engineering, or Solution Architecture.
Experience with high-performance networking or CPU/GPU application acceleration.
Experience with schedulers such as SLURM, LSF, or UGE.
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf, and Kubernetes.
Ability to travel to customer sites up to 20% of the time.
Active Security Clearance is highly desirable.

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