Senior System Architect, Enterprise Reference Architectures
$208,000–$379,500 year
On-site · Austin, Texas, United States or Santa Clara, California, United States
Job Summary
Senior System Architect to define, design, and validate enterprise AI factory reference architectures. This role sits at the intersection of product strategy, system architecture, customer requirements, and hands-on infrastructure validation, helping turn NVIDIA accelerated computing, networking, storage, and AI software into repeatable blueprints for on-prem and hybrid deployments. You will develop full-stack reference builds across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software; drive evaluation of platforms, capture design differences, and create field-ready technical guidance. You will collaborate with Product Management, Product Architects, Engineering, Solution Architecture, and Field Teams to shape direction, requirements, roadmap inputs, and execution plans; design scalable cluster architectures for AI/ML workloads from rack-scale systems to data-center deployments; assess trade-offs in performance, scalability, resiliency, security, power, cooling, and TCO; and define API strategies, middleware integrations, and orchestration workflows to enable seamless distributed communications. The role emphasizes integration with non-cloud technologies and third-party products, and requires deep expertise in modern cloud-native patterns, containers, and high-availability architectures. Salary is location-based with a base range provided; NVIDIA offers equity and benefits and is an equal opportunity employer.
Required Qualifications
- Bachelor's degree in a related field 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
- Proven experience designing, building, or maintaining complex AI, HPC, or cloud-native infrastructure
- Proficiency in GPU-accelerated systems, high-density servers, PCIe, NVLink, data-center deployment
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