As a Product Architect at NVIDIA, you will join our visionary team to design and oversee the development of advanced AI solutions from concept through deployment. You’ll stay abreast of technology trends, propose innovative product concepts, and define detailed architectures that ensure performance, scalability, and interoperability across datacenter ecosystems. Your role involves leading prototyping efforts, collaborating with internal teams for seamless integration, and working closely with partners to build proof-of-concepts and MVPs. With a strong background in DevOps solutions like Python, Ansible, Kubernetes, and container runtimes, you will develop comprehensive documentation and targeted content for diverse audiences. This position requires 12+ years of experience as a Principal Architect or equivalent, extensive knowledge of AI workloads, and a passion for cutting-edge technological advancements.
Skills
Python
Kubernetes
Ansible
DevOps
Container Runtimes
AI workloads
RAG-based workflows
Inference at scale
Large scale training
Model evaluation
HPC
Data center deployments
PostgreSQL
MVPs
POCs
CI/CD
What you'll do
Define detailed product architectures for AI solutions, ensuring performance and scalability.
Lead prototyping and testing to validate product design and functionality at scale.
Refine designs based on feedback and evolving requirements throughout the lifecycle.
Collaborate with cross-functional teams to ensure seamless integration of ecosystems.
Work closely with partners and customers to build proof-of-concepts and MVPs.
Develop comprehensive documentation, including technical specifications and user guides.
What we're looking for
12+ years of experience as a Principal Architect in datacenter-scale HPC or AI infrastructure.
Strong background in large scale infrastructure management for complex systems and networks.
Extensive experience with DevOps solutions including Python, Ansible, Kubernetes, and container runtimes.
Expertise in AI workloads such as agentic workflows, inference at scale, and model evaluation.
Ability to communicate complex technical details effectively to diverse audiences.
Prior hands-on experience building large-scale AI infrastructure.
Advanced certifications or publications in AI, deep learning, or related fields.
Market check
Salary context
This
$208,000–$327,750
range sits above
91%
of similar postings on FindRole.
Peer median band
$145,838–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$152,955–$228,437
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Ca, Santa Clara, US37 days ago
$200,000–$322,000
Python
Linux
PCIe
GPU
CPU
HBM
High Speed Digital Design
Signal Integrity
Timing Analysis
Fault Analysis
Sampling
Computer Architecture
AI Tools
Diagnostics/Test Software