Senior GPU Networking Architect for AI Data Centers

NVIDIA Corporation; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

NVIDIA Corporation in Zürich seeks a senior principal architect to shape future GPU networking and AI data center innovations. You will translate complex business needs into scalable architectural solutions and lead PoC efforts across virtualization, storage, SDN and HPC domains.

You'll drive technical direction, collaborate across multinational teams, and contribute to NVIDIA's AI infrastructure leadership, with strong emphasis on performance optimization and deep learning workflows.

Qualifikationen

• Hold a MSc or PhD in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent).
• 8+ years of industry experience in systems architecture or related fields.
• Experience in virtualization, networking and storage.
• Experience in Windows or Linux drivers with a strong background in the other OS.
• Deep understanding of performance profiling and HW offloads; strong teamwork and communication.

Aufgaben

• Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.
• Lead vision, architecture and design of such technologies.
• Lead proof-of-concept development to evaluate and drive such technologies.
• Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
• Work with the community and maintainers to drive strategic technologies.

Kenntnisse

Virtualization

Networking

Storage

Performance profiling

Deep Learning frameworks

Ausbildung

MSc or PhD in Computer Science, Electrical or Computer Engineering

Tools

Windows drivers

Linux drivers

Jobbeschreibung

NVIDIA Corporation in Zürich seeks a senior principal architect to shape future GPU networking and AI data center innovations. You will translate complex business needs into scalable architectural solutions and lead PoC efforts across virtualization, storage, SDN and HPC domains.

You'll drive technical direction, collaborate across multinational teams, and contribute to NVIDIA's AI infrastructure leadership, with strong emphasis on performance optimization and deep learning workflows.