NVIDIA

2 months ago

Senior System Architect, Enterprise Reference Architectures

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior System Architect to define, design, and validate enterprise AI factory reference architectures. You’ll translate customer needs into architecture patterns, validation plans, and field-ready guidance across accelerated compute, networking, storage, Kubernetes, observability, automation, and AI software, enabling on-prem and hybrid-cloud deployments.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software to deliver on-prem cloud native-platform and cluster reference builds.
•Architect reference builds for end-to-end software systems and platforms based on scalable, portable, and resilient builds and drive evaluation of different platforms, capture information on differences in implementations, and conduct research on the platform behavior under different workloads.
•Work with Product Management, Product Architects, Engineering, Solution Architecture, Program Management, and field teams to develop product direction, architecture requirements, roadmap inputs, and execution plans
•Develop and validate scalable cluster designs for enterprise AI/ML systems, including on-premises and hybrid-cloud deployments optimized for training, fine-tuning, inference, agentic AI, physical AI, and HPC workloads
•Evaluate tradeoffs across performance, scalability, resiliency, manageability, security, power, cooling, cost, TCO, and operational complexity.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's degree or equivalent experience.
•12+ years of software or infrastructure architecture experience.
•3+ years of experience with micro-services architectures.
•Experience with system architecture, performance, and networking, specifically developing and deploying distributed solutions.
•Proven experience designing, building, or maintaining complex AI, HPC, or cloud-native infrastructure from rack-scale systems through full data center deployments.

Experience:12+ yearsAIHPCData centerEnterprise softwareCloud-native

Education:Bachelor's

Skills:KubernetesDockerGPUNVLinkPCIeInfiniBandRDMARoCEKafkaRabbitMQEthernetObservabilityAutomation

Languages:English

Tech Stack:KubernetesDockerNVLinkPCIeNVIDIAGPUEthernetInfiniBandRDMARoCEKafkaRabbitMQCloudOn-premisesHybrid-cloudObservabilityAutomation

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior System Architect, Enterprise Reference Architectures

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software to deliver on-prem cloud native-platform and cluster reference builds.
•Architect reference builds for end-to-end software systems and platforms based on scalable, portable, and resilient builds and drive evaluation of different platforms, capture information on differences in implementations, and conduct research on the platform behavior under different workloads.
•Work with Product Management, Product Architects, Engineering, Solution Architecture, Program Management, and field teams to develop product direction, architecture requirements, roadmap inputs, and execution plans
•Develop and validate scalable cluster designs for enterprise AI/ML systems, including on-premises and hybrid-cloud deployments optimized for training, fine-tuning, inference, agentic AI, physical AI, and HPC workloads
•Evaluate tradeoffs across performance, scalability, resiliency, manageability, security, power, cooling, cost, TCO, and operational complexity.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's degree or equivalent experience.
•12+ years of software or infrastructure architecture experience.
•3+ years of experience with micro-services architectures.
•Experience with system architecture, performance, and networking, specifically developing and deploying distributed solutions.
•Proven experience designing, building, or maintaining complex AI, HPC, or cloud-native infrastructure from rack-scale systems through full data center deployments.

Experience:12+ yearsAIHPCData centerEnterprise softwareCloud-native

Education:Bachelor's

Skills:KubernetesDockerGPUNVLinkPCIeInfiniBandRDMARoCEKafkaRabbitMQEthernetObservabilityAutomation

Languages:English

Tech Stack:KubernetesDockerNVLinkPCIeNVIDIAGPUEthernetInfiniBandRDMARoCEKafkaRabbitMQCloudOn-premisesHybrid-cloudObservabilityAutomation

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor