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NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
Senior Virtualization Solutions Architect - NVIDIA (Remote, California)
Guide enterprise adoption of NVIDIA vGPU and virtualization with VMware. Architect GPU-accelerated solutions and integrations for AI, compute, and data science workloads.
United States
California$184,000 – $287,500 / year
RemoteFull-timeSeniorLeadEnglish RequiredSolutions EngineerDescription
- Advise customers on mapping complex workloads to NVIDIA technologies.
- Co-design scalable VMware architectures, including technical direction, integration milestones, and deployment plans.
- Design, validate, and support solutions that help customers and partners succeed.
- Surface gaps between VMware requirements and NVIDIA offerings for product and engineering teams.
- Lead technical engagements, resolve complex issues, and represent customers’ technical needs.
- Advance technical enablement and adoption of NVIDIA SDKs, frameworks, and systems.
- Coordinate across teams to support successful deployments and ongoing solution improvements.
- Collaborate with the VMware/Broadcom alliance team on 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
- Bachelor’s or master’s degree, or equivalent experience, in computer science, engineering, or a related field.
- At least 8 years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- At least 3–5 years of direct, hands-on experience with virtualization or virtual desktop infrastructure.
- Advanced knowledge of vGPU profiles, Multi-Instance GPU (MIG), GPU passthrough, VM sizing and density, and hypervisor-based delivery.
- Demonstrated experience driving product integrations and contributing to software, hardware, systems, and library platforms.
- Ability to explain complex technical concepts clearly to technical and non-technical audiences, including engineers and C-level executives.
- Strong problem-solving ability and intellectual curiosity.
- Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.
- Experience integrating container orchestration 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
- Competitive compensation
- Comprehensive benefits package
- Equity
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