Senior System Architect, Enterprise Reference Architectures

About the role

The Senior System Architect will define, design, and validate enterprise AI factory reference architectures. This role bridges product strategy, system architecture, customer requirements, and hands-on infrastructure validation.

Responsibilities

• Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software.
• Architect reference builds for end-to-end software systems and platforms based on scalable, portable, and resilient builds and drive evaluation of different platforms.
• Develop and validate scalable cluster designs for enterprise AI/ML systems, including on-premises and hybrid-cloud deployments.
• Evaluate tradeoffs across performance, scalability, resiliency, manageability, security, power, cooling, cost, TCO, and operational complexity.
• Build and detail comprehensive API strategies, middleware integrations, and orchestration workflows to ensure seamless communication across distributed enterprise software.
• Integrate with non-cloud technologies and third-party vendor products/services.

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.
• Proven expertise in crafting and deploying complete software platforms spanning edge, on-premises, and cloud environments.
• Strong understanding of GPU-accelerated systems, high-density servers, PCIe, NVLink, CPU/GPU platform design, rack integration, power, cooling, mechanical constraints, and data center deployment realities.
• Deep networking knowledge across Ethernet, InfiniBand, RDMA, RoCE, routing, switching, congestion control, network segmentation, and high-performance cluster fabrics.
• Deep proficiency in modern integration patterns, event-driven architectures (e.g., Kafka, RabbitMQ), and container orchestration (e.g., Kubernetes, Docker).
• Strong grasp of cloud-native systems with emphasis on high availability, scalability, and security in compute environments.

Qualifications

• Ability to work optimally with NVIDIA and its partners to deliver prescriptive, validated, and scalable enterprise AI factory architectures that reduce deployment complexity and accelerate time to value.
• Ability to connect product vision, customer feedback, and deep system architecture to develop practical designs that enterprises can deploy, operate, and expand in production.

Skills

• Ability to work optimally with NVIDIA and its partners to deliver prescriptive, validated, and scalable enterprise AI factory architectures that reduce deployment complexity and accelerate time to value.
• Ability to connect product vision, customer feedback, and deep system architecture to develop practical designs that enterprises can deploy, operate, and expand in production.

Benefits

• NVIDIA is widely considered one of the technology world’s most desirable employers.
• We have some of the world's most forward-thinking and hardworking people on our team.

Pay

Base salary range: $208,000 - $327,750 for Level 5, and $240,000 - $379,500 for Level 6.

Schedule

Applications for this job will be accepted at least until June 2, 2026.