Job description

We’re hiring a Senior Solutions Architect to drive technical engagement with VMware across vGPU and Virtualization solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you! What you’ll be doing: • Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes. • Co-design advanced, scalable architectures with VMware, defining technical direction, integration milestones, and deployment plans. • Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success. • Identify gaps between VMware needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities. • Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs. • Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems. • Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions. • Partner with the VMware/Broadcom alliance team on joint validation, reference architectures, and customer-driven roadmap feedback. • Enable vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads. • Work with Red Hat, SUSE, Nutanix, and other ecosystem partners to support virtualization and workload management on NVIDIA hardware. What we need to see: • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. • 8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 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, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries. • Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives. • Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed. • A track record of balancing empathy for VMware needs with the ability to drive complex product decisions through trusted relationships. • Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments. Ways to Stand Out from the Crowd: • A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges. • History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms. • A technical vision that influences product and engineering decisions and drives production outcomes. • Container-orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including NVIDIA GPU Operator operations. • Familiarity beyond VMware with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with VMware, defining technical direction, integration milestones, and deployment plans.
Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Identify gaps between VMware needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
Partner with the VMware/Broadcom alliance team on joint validation, reference architectures, and customer-driven roadmap feedback.
Enable vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads.
Work with Red Hat, SUSE, Nutanix, and other ecosystem partners to support virtualization and workload management on NVIDIA hardware.
Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
A track record of balancing empathy for VMware needs with the ability to drive complex product decisions through trusted relationships.
Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.
A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
A technical vision that influences product and engineering decisions and drives production outcomes.
Container-orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including NVIDIA GPU Operator operations.
Familiarity beyond VMware with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

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Keywords to mirror

aillmkubernetes

Platform: eightfold
Effort: medium

Benefits

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