NVIDIA’s Enterprise Platforms Group seeks a Senior System Architect to lead the design and validation of enterprise AI factory reference architectures, bridging product strategy with customer requirements. This role involves defining full-stack baseline architectures for compute, networking, storage, and Kubernetes orchestration, while collaborating closely with cross-functional teams to develop scalable cluster designs optimized for various workloads. The ideal candidate possesses extensive experience in system architecture, microservices, and distributed solutions, along with deep expertise in GPU-accelerated systems, high-performance networking, and cloud-native infrastructure. Proficiency in technologies such as Kubernetes, Docker, Kafka, RabbitMQ, and InfiniBand is essential, alongside the ability to craft comprehensive API strategies and middleware integrations for seamless communication across enterprise software. This position demands a strong understanding of data center deployment realities and the capability to deliver validated architectures that simplify enterprise AI deployments and accelerate time-to-value.
Skills
Kubernetes
Docker
CI/CD
Prometheus
Grafana
Python
PostgreSQL
AWS
Azure
Google Cloud Platform
Terraform
Ansible
Git
Jenkins
NVIDIA AI Software
Microservices
Event-driven architectures
High-performance networking
GPU-accelerated systems
PCIe
NVLink
InfiniBand
RDMA
RoCE
What you'll do
Define full-stack enterprise AI factory baseline architectures across various infrastructure components.
Architect reference builds for end-to-end software systems optimized for diverse workloads.
Develop and validate scalable cluster designs for enterprise AI/ML systems in on-premises and hybrid-cloud environments.
Evaluate tradeoffs between performance, scalability, resiliency, manageability, security, cost, and operational complexity.
Build comprehensive API strategies and orchestration workflows to ensure seamless communication across distributed enterprise software.
Integrate with non-cloud technologies and third-party vendor products/services for cohesive system design.
What we're looking for
Over 12 years of experience in software or infrastructure architecture.
Expertise in designing complex AI, HPC, and cloud-native infrastructures.
Proficiency in GPU-accelerated systems and high-performance networking technologies.
Deep understanding of container orchestration and event-driven architectures.
Ability to translate customer needs into clear architectural requirements and validation plans.
Strong collaboration skills with product management, engineering, and field teams.
Market check
Salary context
This
$208,000–$327,750
range sits above
94%
of similar postings on FindRole.
Peer median band
$152,000–$234,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$152,955–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
825 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 813 roles with salary data.