Solutions Architect, Virtualization

atNVIDIARemoteUS flagCaliforniaFull-timeSolutions EngineerSeniorLead$184k – $287.5k/year

Posted 6 days ago

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a trusted consultant by aligning intricate customer workloads with NVIDIA's technology offerings.

• Collaborate in designing scalable architectures alongside VMware, establishing technical direction, integration milestones, and deployment strategies.

• Create, validate, and support solutions to ensure success for customers and partners.

• Identify discrepancies between VMware requirements and NVIDIA products, and relay insights to product and engineering teams.

• Lead technical discussions, resolve complex challenges, and advocate for the technical needs of customers.

• Promote technical enablement and the adoption of NVIDIA SDKs, frameworks, and systems.

• Collaborate across teams to guarantee successful deployment and ongoing enhancement of NVIDIA solutions.

• Work with the VMware/Broadcom alliance team on joint validation efforts, reference architectures, and feedback on the roadmap.

• Enable vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads.

• Assist in virtualization and workload management on NVIDIA hardware in collaboration with Red Hat, SUSE, Nutanix, and other ecosystem partners.


⛳️ Requirements

• Bachelor's or Master's degree, or equivalent experience in Computer Science, Engineering, or a related discipline.

• Over 8 years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.

• 3-5+ years of direct, practical experience in virtualization or virtual desktop infrastructure.

• Extensive technical knowledge in vGPU profiles, Multi-Instance GPU (MIG), GPU passthrough, VM sizing and density, and hypervisor-based delivery.

• Proven history of driving product integrations and contributing to software and hardware platforms, systems, and libraries.

• Strong ability to articulate complex technical concepts clearly to both technical and non-technical audiences, from engineers to C-level executives.

• Excellent problem-solving capabilities and a keen intellectual curiosity.

• Experience in designing, validating, and implementing GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized settings.

• Knowledge of container orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including operations of the NVIDIA GPU Operator.

• Familiarity with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments.


🏝️ Benefits

• Competitive salaries

• Generous benefits package

• Equity

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