NVIDIA
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Principal System Cloud Architect
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NVIDIA We are seeking a Principal System Architect to lead the architectural vision for NVIDIA’s GPU Infrastructure-as-a-Service (IaaS) offerings. This strategic role focuses on defining reference architectures and system blueprints that integrate NVIDIA’s 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 You’ll Be Doing
Architect Future-Ready GPU Infrastructure Define scalable, secure, and efficient architectures for GPU-based IaaS using NVIDIA’s 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 NVIDIA’s 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 world’s most desirable employers. Applications for this role will be accepted until October 24, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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. Base salary range: 272,000 USD - 425,500 USD. You will also be eligible for equity and benefits.
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Principal System Cloud Architect
role at
NVIDIA We are seeking a Principal System Architect to lead the architectural vision for NVIDIA’s GPU Infrastructure-as-a-Service (IaaS) offerings. This strategic role focuses on defining reference architectures and system blueprints that integrate NVIDIA’s 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 You’ll Be Doing
Architect Future-Ready GPU Infrastructure Define scalable, secure, and efficient architectures for GPU-based IaaS using NVIDIA’s 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 NVIDIA’s 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 world’s most desirable employers. Applications for this role will be accepted until October 24, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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. Base salary range: 272,000 USD - 425,500 USD. You will also be eligible for equity and benefits.
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