Senior GPU Cluster Architect for AI & HPC – Equity-Eligible

NVIDIA Corporation; Santa Clara (CA); Vor Ort; USD 224.000 - 357.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA Corporation in Santa Clara, CA seeks a Senior Solutions Architect to design GPU clusters, NVLink networks, and enterprise AI infrastructure. You will work with customers and OEMs on end-to-end cluster architecture, performance modeling, validation, and NPI deployments for large-scale AI training and inference systems.

The role requires 8+ years in cluster design, strong communication with technical and executive stakeholders, and hands-on debugging across GPU and networking deployments.

Qualifikationen

• 8+ years in cluster design, validation and issue resolution on GPU/HPC clusters.
• Experience with large-scale AI factory or HPC deployments is a plus.
• Ability to communicate complex technical concepts to executives.

Aufgaben

• Design GPU clusters (compute, networking, storage) for large-scale AI training and modular inference.
• Collaborate with OEMs to deploy new architectures and topologies.
• Provide feedback to Product/Engineering on reference architectures and performance.
• Hands-on debugging during deployments and issue resolution.
• Support NPI deployments with new GPU/Networking architectures.

Kenntnisse

Cluster design

AI/HPC expertise

Communication with executives

Troubleshooting hardware/software

Cross-functional collaboration

Ausbildung

BS, MS, or PhD in CS/EE/Physics

Tools

NVIDIA GPUs

NVLink

MPI/NCCL

NVIDIA Networking

Jobbeschreibung

NVIDIA Corporation in Santa Clara, CA seeks a Senior Solutions Architect to design GPU clusters, NVLink networks, and enterprise AI infrastructure. You will work with customers and OEMs on end-to-end cluster architecture, performance modeling, validation, and NPI deployments for large-scale AI training and inference systems.

The role requires 8+ years in cluster design, strong communication with technical and executive stakeholders, and hands-on debugging across GPU and networking deployments.