below marketmost similar roles pay hereabove market
This role pays more than
92%
of similar roles. Most pay
$154,978–$235,750
— the blue band above.
At the midpoint, this role pays about
$268k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior System Architect, Enterprise Reference Architectures joins the NVIDIA Enterprise Platforms Group to define, design, and validate enterprise AI factory reference architectures. This role involves creating repeatable blueprints for accelerated computing, networking, storage, and AI software. You will develop full-stack baseline architectures for on-premises cloud-native platforms and clusters, translating customer needs into clear requirements and validation plans. Key responsibilities include architecting scalable designs for training, fine-tuning, inference, and HPC workloads while evaluating tradeoffs in performance, security, and power. Required expertise includes GPU-accelerated systems, NVLink, PCIe, Ethernet, InfiniBand, RDMA, and RoCE. You must demonstrate proficiency in Kubernetes, Docker, Kafka, and RabbitMQ. The work focuses on building resilient, portable software platforms across edge, on-premises, and hybrid-cloud environments to solve complex infrastructure deployment challenges.
Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, and orchestration.
Architect reference builds for end-to-end software systems based on scalable, portable, and resilient designs.
Develop and validate scalable cluster designs for on-premises and hybrid-cloud AI/ML training and inference workloads.
Evaluate technical tradeoffs across performance, scalability, resiliency, security, power, cooling, and total cost of ownership.
Build comprehensive API strategies, middleware integrations, and orchestration workflows for distributed enterprise software.
Integrate non-cloud technologies and third-party vendor products into the enterprise architecture.
Translate ambiguous customer needs into clear requirements, architecture patterns, and field-ready validation plans.
What we're looking for
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.