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