Senior Data Infrastructure Engineer, AI Performance
Core
Build and scale distributed execution, data, automation, and visualization platforms for NVIDIA's AI simulation ecosystem to guide GPU and AI platform design.
Role type
Senior IC data infrastructure engineer (AI simulation)
Builds
Distributed execution platforms, unified storage/data platforms, self-service analytics and visualization tools
Domain
AI computing, high-performance computing, GPU architecture, simulation
Deliverable
production ML models | infrastructure
Required skills
distributed systems, data platforms, system design, scalability, reliability, data consistency, operational trade-offs
Preferred skills
compute orchestration, storage and query engines, LLM inference optimization, architecture simulation, performance modeling, GPU computing
Technologies
on-premises compute clusters, cloud environments
Responsibilities
Build scalable infrastructure for large simulation studies; Establish unified storage and data platform; Develop self-service analytics and visualization; Partner with architects and researchers to translate AI workloads; Define technical roadmap and engineering practices
Seniority
Senior, hands-on IC