Senior Product Architect, K8s-Based AI Infrastructure
NVIDIA · Remote · Santa Clara, United States · 1mo ago
NVIDIA is the engine of modern Artificial Intelligence, Parallel Compute Infrastructure, and Agentic AI - the biggest technology breakthroughs of our time. We’re on a mission to redefine how data moves, connects, and accelerates workloads at scale, and we’re seeking a visionary Product Architect with strong expertise in systems architecture to join our cause. As a key member of our team, you’ll design and shape the architectures that connect the world’s most powerful AI clusters. As a Product Architect at NVIDIA, you'll be the linchpin in transforming ideas into well-defined, functional products, balancing technical feasibility with user needs and market demands. You'll be responsible for designing and overseeing the development of cutting-edge AI solutions from conception through their entire lifecycle. Working at NVIDIA is all about efficiency and multiplying efforts; being a Product Architect is at the nexus of this ethos!
What you’ll be doing:
Stay at the forefront of technology trends in AI Infrastructure & Agentic AI, proposing new product concepts
Define detailed product architectures, including performance, scalability, interoperability, and datacenter deployment requirements
Lead prototyping and testing processes to validate product design and functionality, with a focus on scale, diagnosing bottlenecks and driving innovations in performance
Iterate and refine designs based on feedback, testing results, and evolving requirements
Collaborate with internal hardware, software, security and systems teams to ensure flawless integration of networking, compute and storage ecosystems
Work closely with partners and customers to conceptualize ideal solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) that demonstrate your vision
Provide comprehensive documentation for product designs, including technical specifications and user guides
Develop targeted content such as whitepapers, blogs, and curriculum for customers, partners, and users
What we need to see:
8+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent
Bachelors degree in computer science or related field (or equivalent experience).
Strong background in technologies that enable large scale infrastructure management of complex systems, networks, and storage
Extensive experience with DevOps solutions, including Python, Ansible, Container Runtimes, Kubernetes, and data center deployments
Familiarity with AI workloads, including agentic & RAG-based workflows, inference at scale, large scale training & fine-tuning, and model evaluation
Exceptional communication skills, with the ability to translate complex technical details for diverse audiences
A passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd:
Prior first-hand experience on having built large scale AI infrastructure
Advanced certifications or publications in AI, deep learning, or related fields
Experience leading high-impact projects or initiatives in cutting-edge tech domains
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.