Senior Data Infrastructure Engineer, AI Performance
Core
Build and scale the infrastructure behind NVIDIA's simulation ecosystem for GPU and AI platform design, enabling architects to explore large design spaces and analyze performance, power, and cost trade-offs.
Role type
Senior IC data infrastructure engineer (AI performance)
Builds
Distributed execution, data, automation, and visualization platforms for large-scale simulation studies
Domain
Semiconductor / High-Performance Computing / AI Infrastructure
Deliverable
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
Responsibilities
Build scalable infrastructure for simulation studies across on-premises and cloud environments; Establish a unified storage and data platform for simulation data; Develop self-service analytics and visualization capabilities; Partner with architects and researchers to translate AI workloads into platform capabilities; Define technical roadmap and engineering practices for simulation platforms
