Senior Product Architect, K8s-Based AI Infrastructure
Posted 1ds ago
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Job Description
Product Architect designing Kubernetes-based AI infrastructure for NVIDIA’s accelerated computing platform. Shaping scalable architectures, prototypes, and AI solutions from concept through lifecycle.
Responsibilities:
- 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, focusing on scale, diagnosing bottlenecks, and driving performance innovations
- Iterate and refine designs based on feedback, testing results, and evolving requirements
- Collaborate with internal hardware, software, security, and systems teams to integrate networking, compute, and storage ecosystems
- Work with partners and customers to conceptualize solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs)
- Provide comprehensive product design documentation, including technical specifications and user guides
- Develop whitepapers, blogs, and curriculum for customers, partners, and users
Requirements:
- 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
- Prior first-hand experience 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
Benefits:
- Equity
- Benefits

















