This role pays more than
91%
of similar roles. Most pay
$178,900–$244,050
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$211k
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.
As a Senior Solutions Architect, NVIDIA Cloud Partner Operations, you will join the team to elevate Day 2 operations across the NVIDIA Cloud Partner ecosystem. You will work alongside partner engineers to solve complex problems regarding performance, stability, and economics for AI clouds at scale. Your daily responsibilities include prototyping solutions under representative loads, creating reference architectures, and developing automated workflows to improve reliability and infrastructure maturity. The role requires expertise in large-scale GPU, HPC, or cloud infrastructure. You will utilize technologies such as DCGM, BMC/Redfish, InfiniBand, NCCL, UFM, Lustre, WEKA, VAST Data, Kubernetes, Slurm, Prometheus, Grafana, OpenTelemetry, Terraform, Ansible, and Argo CD. Proficiency in Linux, Python, and Bash is essential for automating diagnosis and remediation while addressing technical challenges related to multi-tenancy, GPU scheduling, and high-performance storage systems.
What does a Solutions Architect earn in Remote?
Median $231100 from 71 postings across 13 companies.
Solve complex Day 2 operations problems at scale for the NVIDIA Cloud Partner ecosystem.
Collaborate with partner engineers to identify root causes and prototype solutions under representative loads.
Prepare new NVIDIA platforms and services for production by establishing stable operating models.
Improve cloud reliability, performance, and economics using metrics like incident frequency and cost per token.
Identify and close gaps in partner infrastructure across telemetry, security, and incident response.
Convert validated technical solutions into reference architectures, automation scripts, and standard operating procedures.
Analyze patterns across multiple partners to provide feedback to NVIDIA product and engineering teams.
What we're looking for
BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience.
12+ years of experience in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role.
5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure (alternative to the 12-year requirement).
Experience building, operating, or improving distributed infrastructure under real production load.
Deep expertise in at least one part of the Day 2 stack involving large-scale GPU, HPC, or cloud infrastructure.
Proficiency with Linux and sufficient Python or Bash experience to automate measurement, diagnosis, validation, or remediation.
Experience with Kubernetes, Slurm, Prometheus, Grafana, OpenTelemetry, Terraform, Ansible, or Argo CD.
Experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load (preferred).
Generative AI
LLMs
GPU
HPC
NCCL
DCGM
UFM
Mission Control
Base Command Manager
SLURM
Networking
Compute Infrastructure
Performance Analysis
AI Benchmarking
Data Center Design
Accelerated Computing
Deep Learning