below marketmost similar roles pay hereabove market
This role pays more than
86%
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
1472 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1109 roles with salary data.
JOB TITLE: Solutions Architect, Virtualization
The Senior Solutions Architect joins the team to drive technical engagement with VMware across vGPU and virtualization solutions. This role involves mapping complex customer workloads to the NVIDIA technology stack to achieve measurable outcomes. You will co-design scalable architectures, define integration milestones, and lead technical engagements to troubleshoot issues and drive platform adoption. Key responsibilities include enabling vGPU Compute for AI inference, LLM routing, and accelerated data science. You must possess deep expertise in vGPU profiles, Multi-Instance GPU, GPU passthrough, and hypervisor-based delivery. Required skills include experience with Red Hat, SUSE, Nutanix, and VMware Tanzu. You will bridge technical gaps between VMware needs and NVIDIA offerings, providing roadmap feedback while designing GPU-accelerated solutions in virtualized and containerized environments.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 12 companies.
Map complex customer workloads to NVIDIA’s technology stack to achieve measurable business outcomes.
Co-design scalable architectures with VMware, defining technical directions, integration milestones, and deployment plans.
Design, validate, and support technical solutions that enable customer and partner success.
Identify gaps between VMware needs and NVIDIA offerings to shape internal product and engineering priorities.
Lead technical engagements to help customers troubleshoot and resolve complex technical issues.
Drive platform adoption by helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
Partner with the VMware/Broadcom alliance team on joint validation and reference architectures.
Enable vGPU Compute for AI inference, LLM routing, and accelerated data science workloads.
What we're looking for
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ 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 virtualization or virtual desktop infrastructure.
Deep technical expertise in vGPU profiles, Multi-Instance GPU (MIG), GPU passthrough, VM sizing and density, and hypervisor-based delivery.
Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.
Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
Container-orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including NVIDIA GPU Operator operations (preferred).
Familiarity beyond VMware with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments (preferred).
Remote (Santa Clara, CA)+344 days ago
$184,000–$287,500
GPU
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