NVIDIA
AI
SolutionsArchitect,AIFactoryInfrastructure
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“Solutions Architect, AI Factory Infrastructure at NVIDIA. Skills: AI Factory Infrastructure, AI development, accelerated computing, AI inference, digital simulation, full stack design, hardware architecture, workload orchestration, application performance tuning, Linux, Kubernetes, Python, hybrid cloud architectures. Help customers with their AI factory journey, including workflow pipelines and performance optimization. Focus data center implementations for inference use cases, including distrib”
Industry & Context.
Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problems
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience in Engineering or Computer Science, 3+ 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, Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling, Familiarity with Linux system environments including using Linux for systems administration, Comfortable with Python programming, Understanding how software and hardware work together to optimize applications, 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 big cloud deployments, Experience with cloud native tooling including Terraform, Kubernetes, Helm, Background in building large scale infrastructure that deliver workloads via containers, Experience developing and deploying solutions in hybrid and/or cloud environments, Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen 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
task coordination 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
Full Job Description
Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation. NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. **What you 'll be doing:** * 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, data aggregation, 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, storage, security and user streaming connectivity * Providing expertise in infrastructure workflows, including hardware, task coordination 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 **What we need to s
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