2 months ago
Base Salary
$184k - $288k/yr
Responsibilities
- Advise customers and partners on mapping complex workloads to NVIDIA hardware and software technologies.
- Co-design scalable architectures with VMware, including technical direction, integration milestones, and deployment plans.
- Design, validate, deploy, and support GPU-accelerated virtualization, visualization, compute, and AI solutions.
- Lead technical engagements, troubleshoot complex issues, and advocate for customer and partner technical needs.
- Enable developers and enterprises to integrate NVIDIA SDKs, frameworks, and systems.
- Identify gaps in VMware requirements and NVIDIA offerings and provide feedback to product and engineering teams.
- Partner with VMware/Broadcom alliance teams on joint validation, reference architectures, and roadmap feedback.
- Support vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads.
- Collaborate with Red Hat, SUSE, Nutanix, and other ecosystem partners on virtualization and workload management.
Requirements
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 8+ years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- 3–5+ years of direct, hands-on experience in virtualization or virtual desktop infrastructure.
- Deep expertise in vGPU profiles, Multi-Instance GPU, GPU passthrough, VM sizing and density, and hypervisor-based delivery.
- Experience driving product integrations and contributing to software, hardware, systems, and library platforms.
- Experience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.
- Strong communication skills for explaining complex technical concepts to engineers, executives, and other audiences.
- Experience enabling customers or partners to adopt NVIDIA technologies and influencing product and engineering decisions.
- Preferred experience integrating VMware Tanzu, Red Hat OpenShift, or Kubernetes with container orchestration and NVIDIA GPU Operator operations.
- Familiarity with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments.
Benefits
- Competitive salary, equity, and benefits are offered.
- The role offers broad impact at NVIDIA through customer, partner, product, and engineering engagement.
- Applications will be accepted at least until October 4, 2026.
- This posting is for an existing vacancy.
Tech Stack
KubernetesOpenShift
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.