Solutions Architect, Virtualization

NVIDIA

. Serve as a trusted advisor mapping complex customer workloads to NVIDIA’s technology stack.

Posted 9/29/2026full-timeRemote • California • United StatesSeniorLead💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying GPU-accelerated solutions, with a strong focus on virtualization and technical partnerships. Proven ability to communicate complex technical concepts effectively to diverse audiences and drive product integrations.

Highest-signal resume keywords

VGPU Profiles ExpertiseVirtualization ExperienceTechnical PartnershipsGPU-Accelerated Solutions DesignContainer-Orchestration Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringHardware EngineeringSolutions ArchitectureVirtual Desktop InfrastructureGPU PassthroughVM Sizing and DensityHypervisor-Based DeliveryNVIDIA SDKsAI Solutions DeploymentProduct Integrations

Soft Skills

Problem-SolvingIntellectual CuriosityClear Communication

Tools & Technologies

VMwareNutanixRed HatSUSEVMware TanzuRed Hat OpenShiftKubernetesNVIDIA GPU Operator

Industry Keywords

Technical EnablementCustomer WorkloadsDeployment PlansReference ArchitecturesAI Inference

Tech Stack

Tools & technologies

KubernetesOpenShiftVMware

About the role

Key responsibilities & impact

Serve as a trusted advisor mapping complex customer workloads to NVIDIA’s technology stack.
Co-design scalable architectures with VMware, defining technical direction, integration milestones, and deployment plans.
Design, validate, and support solutions for customer and partner success.
Identify gaps between VMware needs and NVIDIA offerings and communicate insights to product and engineering teams.
Lead technical engagements, troubleshoot complex issues, and advocate for customers’ technical needs.
Drive technical enablement and adoption of NVIDIA SDKs, frameworks, and systems.
Partner cross-functionally to ensure successful deployment and continuous improvement of NVIDIA solutions.
Work with the VMware/Broadcom alliance team on joint validation, reference architectures, and roadmap feedback.
Enable vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads.
Support virtualization and workload management on NVIDIA hardware with Red Hat, SUSE, Nutanix, and other ecosystem partners.

Requirements

What you’ll need

Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
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.
Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
Ability to communicate complex technical ideas clearly to technical and non-technical audiences, from engineers to C-level executives.
Strong problem-solving skills and intellectual curiosity.
Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.
Container-orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including NVIDIA GPU Operator operations.
Familiarity with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments.

Benefits

Comp & perks

Competitive salaries
Generous benefits package
Equity