NVIDIA
AI Infrastructure
SeniorSolutionsArchitect,AIFactoryInfrastructure
“Senior Solutions Architect, AI Factory Infrastructure at NVIDIA. Skills: AI Factory Infrastructure, Solutions Architecture, Accelerated Computing Data Center Solutions, AI Inference at Scale, Physical AI through Digital Simulation, Full Stack Design, Hardware Architecture, Workload Orchestration, Application Performance Tuning, Hybrid Cloud Architectures, Infrastructure Management, Linux, Kubernetes, Python, AI Workloads, Inference Workloads. Help customers with their AI factory journey, includi”
Industry & Context.
Critical thinking capabilities that leverage fundamentals to deduce solutions to unforeseen problems
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience in Engineering or Computer Science, 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise, An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads, Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments, experience with Linux system environments, using Linux as a core operating system for IT workload delivery, Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries, Mastery of how software and hardware work together to optimize applications, Confident experience with AI workloads, with an emphasis on inference workloads, Ability to work independently with a remote team with minimal direction, Outstanding communication skills, interpersonal and be an excellent teammate!
Nice to Have
Experience with on-prem infrastructure architecture and large-scale cloud deployments, Experience with cloud native tooling including Terraform, Kubernetes, Helm, Background in building large scale infrastructure that deliver workloads via containers, Experience optimizing and troubleshooting performance of compute infrastructure, Deploying AI agents to increase productivity and accelerate content delivery, Critical thinking capabilities that leverage fundamentals to deduce solutions to unforeseen problems
What You'll Do.
Help customers with their AI factory journey
including workflow pipelines and performance optimization
Focus data center implementations for inference use cases
including distributed
disaggregated and scaled out workflows
Scope physical AI journeys on Omniverse
including synthetic data generation
application development and simulation pipelines
Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
Deliver hybrid cloud architectures for data pipelines
security and user streaming connectivity
Providing expertise in infrastructure workflows
coordination of workload processes
and application tuning
Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
Work directly with key customers to understand workflows and share feedback with internal product and engineering teams
How You'll Work.
Team & Collaboration
Work directly with key customers to understand workflows and share feedback with internal product and engineering teams; be an excellent teammate!
Communication Scope
Outstanding communication skills
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