Principal System Cloud Architect

We are seeking a Principal System Architect to lead the architectural vision for NVIDIAs GPU Infrastructure-as-a-Service (IaaS) offerings. This strategic role focuses on defining reference architectures and system blueprints that integrate NVIDIAs latest innovations including GB200 Grace Blackwell systems, Spectrum-X, Bluefield, InfiniBand, Storage (Block, File, Object), and AI Enterprise software stacks into scalable, high-performance cloud infrastructure for on-prem, Neo Clouds, and CSPs.

This role requires deep engagements across hardware, networking, orchestration, and partner ecosystems to define the future of GPU cloud services.

What youll be doing :

Architect Future-Ready GPU Infrastructure

Define scalable, secure, and efficient architectures for GPU-based IaaS using NVIDIAs full stack : DGX / HGX, GB200, NVLink / NVSwitch, InfiniBand, and Spectrum-X.

Lead Reference Architecture Development

Work with internal engineering, cloud partners, and OEMs to define and publish validated reference architectures covering bare-metal provisioning, virtualization, storage fabrics, and networking.

Drive End-to-End Cloud Infrastructure Strategy

Architect solutions for bare-metal-as-a-service, VMaaS, and container orchestration (Kubernetes), integrated with virtual networking (VPCs), Infiniband fabrics, high-performance storage, and AI workloads.

Influence Product Strategy Across Domains

Partner with silicon, platform, networking, and software teams to ensure alignment of architecture with NVIDIAs roadmap for GPU, DPU, and AI services.

Engage with Ecosystem Partners

Represent NVIDIA in joint solution development with CSPs, OEMs, and hyperscale customers to align infrastructure strategies and deployment practices.

Evaluate Trade-Offs and Drive Decisions

Make high-impact architectural decisions across performance, scalability, multi-tenancy, power efficiency, and manageability

What we need to see :

15+ years in system architecture, with deep experience in cloud-scale infrastructure, HPC, or AI platforms.

Proven expertise in GPU platforms, data center networking (InfiniBand, RoCE, Spectrum), virtual networking, storage, and orchestration technologies.

Strong understanding of Kubernetes, VM provisioning, bare-metal provisioning, and infrastructure automation.

MS or PhD in Computer Engineering, Electrical Engineering, related field, or equivalent experience..

Demonstrated ability to define, document, and present architectural designs and influence cross-functional teams.

Ways to stand out from the crowd :

Experience with NVIDIA technologies such as DGX, HGX, GB200, NVLink, NVSwitch, BlueField, Magnum IO, and Spectrum-X.

Deep knowledge of AI / ML workloads, distributed training architectures, and GPU scheduler integration.

Familiarity with CSP environments (AWS, Azure, OCI, GCP) and hybrid / multi-cloud architectures.

Participation in open standards and industry bodies (e.g., OCP, CNCF, Kubernetes SIGs).

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology worlds most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, our outstanding teams are rapidly growing.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2025. NVIDIA is committed to fostering a diverse 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.