As a Senior Solutions Architect at NVIDIA, you will join the Cluster Design and Architecture team, focusing on GPU, NVLink, and infrastructure design to assist with the creation of next-generation GPU-based clusters for advanced AI supercomputers and enterprise infrastructure. Your role involves partnering with internal engineering teams and field staff to guide customers through complex cluster designs, ensuring optimal performance and supportability. You will also work hands-on to resolve issues during new product deployments, provide feedback on design principles, and create customer-facing documentation. Essential skills include a degree in Computer Science or related fields, 8+ years of experience with GPU and HPC clusters, expertise in large-scale distributed systems, and proficiency with NVIDIA products such as GPUs and NVLink. Knowledge of NCCL, MPI, IMEX, NMX, and collectives is also required to support the development of cutting-edge AI and HPC solutions at scale.
Partner with engineering teams on GPU cluster design and networking, conveying technical information to field teams and customers.
Guide field teams and customers in designing high-performance GPU clusters, considering complex situational limitations.
Assist in first deployments of new products by resolving issues related to cluster configuration and performance.
Provide feedback from customer interactions to internal engineering teams for improving product designs and documentation.
Support NPI customer deployments involving new GPU and networking architectures.
Translate sophisticated technical concepts into accessible documentation and reference materials for customers.
What we're looking for
8+ years of experience in cluster design, validation, and issue resolution on GPU and HPC clusters
Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure
Ability to translate engineering concepts into customer-ready documentation and reference material
Expertise in driving customer/partner issues to closure with product and engineering teams
Hands-on experience debugging deployment issues with NVIDIA GPUs, NVLink, and networking products
Knowledge of NCCL, MPI, IMEX, NMX, and collectives for distributed training in cluster designs
BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or related field
Market check
Salary context
This
$184,000–$287,500
range sits above
85%
of similar postings on FindRole.
Peer median band
$153,500–$250,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,000–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Remote (Us, Ca, Santa Clara, US)17 days ago
$184,000–$287,500
NVIDIA
GPU
Networking
Deep Learning
AI Infrastructure
Hyperscaler
Cloud Service Provider
CSP
Linux
NCCL
DCGM
UFM
APIs
Embedded Linux Systems
Hardware Demos
System Designs
Technical Training
Sales Training
Customer Support
Problem Solving
Data Analysis
Logs Analysis
Remote (Us, Ca, Santa Clara, US)17 days ago
$152,000–$241,500
NVIDIA
GPU
Networking
Deep Learning
Inference
System Design
Cloud Services
Hyperscaler
CSP
OEM
AI Market
Technical Support
Hardware Demos
Software Libraries
NCCL
DCGM
UFM
Embedded Linux Systems
APIs