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Senior Product Architect, K8s-Based AI Infrastructure
NVIDIAProduct Architect designing Kubernetes-based AI infrastructure for NVIDIA’s accelerated computing platform. Shaping scalable architectures, prototypes, and AI solutions from concept through lifecycle.
Posted 8/20/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting datacenter-scale HPC and AI infrastructure, with a strong focus on performance, scalability, and interoperability. Proven ability to lead high-impact projects, collaborate across teams, and communicate complex technical concepts effectively.
Highest-signal resume keywords
Datacenter-Scale HPC ArchitectureDevOps SolutionsPython ProgrammingKubernetes ManagementAI Workloads Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Infrastructure ArchitecturePerformance OptimizationScalability DesignInteroperability SolutionsPrototyping and TestingTechnical DocumentationModel EvaluationLarge Scale TrainingFine-Tuning TechniquesComplex Systems Management
Soft Skills
Exceptional CommunicationCollaborationFeedback IterationProblem-SolvingPassion for Technology Trends
Tools & Technologies
AnsibleContainer RuntimesData Center DeploymentsNetworking EcosystemsCompute EcosystemsStorage Ecosystems
Certifications & Qualifications
Advanced Certifications in AIPublications in Deep Learning
Industry Keywords
AI InfrastructureAgentic AIHPC SystemsProof-of-Concepts (POCs)Minimum Viable Products (MVPs)
Tech Stack
Tools & technologiesAnsibleKubernetesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Equity
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