below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$161,250–$235,750
— the blue band above.
At the midpoint, this role pays about
$197k
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, Enterprise AI Factories joins the team to drive technical engagement with partners, OEMs, and customers regarding on-premises enterprise AI Factory solutions. You will serve as a trusted advisor, mapping complex customer workloads to the hardware and software ecosystem to achieve measurable outcomes. Key responsibilities include co-designing scalable architectures, defining integration milestones, and leading technical engagements to troubleshoot issues and drive platform adoption. You will work with system management software, operating systems, system firmware, and hardware infrastructure deployed at scale. Required skills include experience with cluster management tools like NVIDIA Base Command Manager and MaaS, and workload orchestration software such as Slurm and Kubernetes. You will solve technical challenges involving BMCs, PCIe communication, and network topologies to enable successful on-premises AI deployments.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 11 companies.
Map complex customer workloads to NVIDIA’s hardware and software technology stack to achieve measurable outcomes.
Co-design scalable architectures with integration partners and OEMs, defining technical direction and deployment plans.
Design, validate, and provide hands-on technical support for solutions that enable customer success.
Identify gaps between customer needs and NVIDIA offerings to shape internal product and engineering priorities.
Lead technical engagements to help customers troubleshoot and resolve complex infrastructure issues.
Drive platform adoption by helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
Tailor on-premises solutions to specific environments while balancing risk, performance, and supportability needs.
What we're looking for
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
3-5+ years of direct, hands-on experience in compute, networking, and storage hardware and software platforms.
Deep technical expertise in system management software, operating systems, system firmware, and hardware infrastructure deployed at scale.
Hands-on experience deploying and operating on-premises AI-focused solutions, including rack-scale firmware and cluster management software.
Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
Real-world experience with cluster management tools like NVIDIA Base Command Manager or MaaS (preferred).
Practical knowledge of system and rack-scale hardware, such as BMCs, PCIe communication, and network topologies (preferred).
Remote (Santa Clara, CA)+360 days ago
$184,000–$287,500
GPU
HPC
AI
ML
GenAI
NVIDIA Hardware
NCCL
DCGM
UFM
Mission Control
Base Command Manager
SLURM
K8s
Data Center Design
Cluster Administration
Performance Testing
AI Benchmarking