NVIDIASolutions Architect, Virtualization
AI in this role
Drive technical engagement and architecture for VMware vGPU and AI infrastructure workloads on NVIDIA platforms.
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 3, 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.How we rate this
Solutions Architect, Virtualization at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where virtualization was part of your work. What did you do?
- Tell me about a project where gpu computing was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where technical partnerships was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Solutions Architecture, Virtualization, GPU Computing, AI Infrastructure, and Technical Partnerships. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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