NVIDIA
NVIDIA
NVIDIA kuria spartinto skaičiavimo ir dirbtinio intelekto technologijas, naudojamas žaidimų, duomenų centrų, debesų kompiuterijos, sveikatos priežiūros, gamybos, automobilių pramonės ir robotikos srityse. Įmonės veikla apima grafikos procesorius, dirbtinio intelekto platformas, modeliavimo sprendimus ir konkrečioms pramonės šakoms skirtus sprendimus, įskaitant NVIDIA Omniverse bendradarbiavimu grindžiamiems 3D procesams, NVIDIA DRIVE autonominių transporto priemonių kūrimui ir NVIDIA Clara sveikatos priežiūros taikomosioms programoms. Įmonė suburia dideles technines komandas, dirbančias su infrastruktūra ir programine įranga, palaikančia pažangų skaičiavimą, modeliavimą ir dirbtiniu intelektu grindžiamą analitiką.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • Competitive compensation
  • Comprehensive benefits package
  • Equity

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