Solutions Architect, AI Factory Infrastructure
Core
Design, architect, and implement accelerated computing data center solutions for AI inference at scale and physical AI through digital simulation.
Role type
early-in-career solutions architect (AI infrastructure)
Builds
hybrid cloud architectures, data pipelines, storage, security, and user streaming connectivity for AI factories
Domain
AI infrastructure, data centers, hybrid cloud
Deliverable
production ML models
Required skills
Linux system administration, Kubernetes, Python programming, hardware architecture, workload orchestration, application performance tuning, distributed workflows, cloud native tooling
Preferred skills
Terraform, Helm, on-prem infrastructure architecture, big cloud deployments, containerized workload delivery, hybrid environment deployment
Responsibilities
Help customers with AI factory journey including workflow pipelines and performance optimization; Focus data center implementations for inference use cases; Scope physical AI journeys on Omniverse; Lead technical sales activities for AI factories; Deliver hybrid cloud architectures; Provide expertise in infrastructure workflows; Understand solution trade-offs and propose enterprise architecture; Work directly with key customers to understand workflows and share feedback
Seniority
Early-career, hands-on IC
