below marketmost similar roles pay hereabove market
This role pays more than
82%
of similar roles. Most pay
$159,400–$235,750
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$198k
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.
The Senior Solutions Architect, AI Infrastructure joins the NVIDIA Solutions Architecture team to support accelerated networking for AI, Machine Learning, and HPC. This role involves driving end-to-end technology solution integration for strategic customers, specifically focusing on developing and deploying compute and networking solutions for Cloud Providers and Hyperscalers. Daily responsibilities include conducting technical customer meetings, performing performance debugging, and leading proofs of concept to address critical business needs. The position requires practical knowledge of sophisticated networking for AI data centers, including GPUs, CPUs, InfiniBand, Ethernet fabric topologies, PCIe, host networking, and switches. Candidates must demonstrate experience with end-to-end compute and network performance debugging across hosts, switches, and optics, while providing product strategy recommendations to internal business and engineering teams.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 11 companies.
Develop, build, and deploy compute and networking solutions for Cloud Providers and Hyperscalers.
Execute Proof of Concepts (POCs) for AI solutions to address specific customer business needs.
Conduct technical meetings for product introductions, feature discussions, and performance debugging sessions.
Provide technical recommendations to business and engineering teams regarding product strategy.
Perform end-to-end compute and network performance debugging for hosts, switches, and optics.
Design and debug large-scale GPU infrastructure at a rack scale.
Integrate end-to-end technology solutions for strategic customers using NVIDIA AI infrastructure.
What we're looking for
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years of Solutions Architect or similar technical pre-sales roles.
Practical knowledge of sophisticated networking for AI data centers, including GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking and switches.
Experience with end-to-end compute and network performance debugging for hosts, switches, and optics.
Ability to communicate ideas clearly through documents and presentations.
Strong customer-oriented demeanor and skills to drive technical pre-sales activities.
External customer facing skills and background (preferred).
Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs (preferred).
C
Python
Perl
Linux Kernel
Ethernet
IP Protocols
RoCE
RDMA
InfiniBand
Firmware
NC-SI
MCTP
RMII
Cloud Infrastructure
AI Workflows
Spectrum-X
DPUs
High-Performance Computing
Debugging