NVIDIA
NVIDIA
NVIDIA izstrādā paātrinātās skaitļošanas un mākslīgā intelekta tehnoloģijas, ko izmanto spēļu, datu centru, mākoņdatošanas, veselības aprūpes, ražošanas, autobūves un robotikas jomās. Uzņēmuma darbība aptver grafikas procesorus, mākslīgā intelekta platformas, simulāciju un nozarei paredzētus risinājumus, tostarp NVIDIA Omniverse sadarbības 3D darbplūsmām, NVIDIA DRIVE autonomo transportlīdzekļu izstrādei un NVIDIA Clara veselības aprūpes lietojumprogrammām. Uzņēmums apvieno lielas tehniskās komandas, kas strādā pie infrastruktūras un programmatūras, kura nodrošina progresīvu skaitļošanu, simulāciju un mākslīgā intelekta vadītu analītiku.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • Competitive compensation
  • Comprehensive benefits package
  • Equity

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