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 other objective job-related factors. The expected base salary range for this position 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 November 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.
