Senior Data Infrastructure Engineer, AI Performance at NVIDIA

Department: Architect

Language

Setup: On-site
Location: Huangpu, Shanghai · Beijing
Type: Full-time
Level: mid
Posted: Aug 19, 2026

Description

NVIDIA is seeking a Software Engineer to build and scale the infrastructure supporting its AI computing architecture simulation ecosystem. The role develops distributed execution, data, automation, and visualization platforms for large-scale simulation studies across on-premises clusters and cloud environments, establishes a unified storage and data platform, and creates self-service analytics and visualization capabilities. The engineer will partner with GPU architects, performance engineers, AI researchers, and software teams, and help define the technical roadmap and engineering practices for next-generation AI architecture simulation platforms.

Required Skills

Distributed systems
Data platforms
Compute orchestration
Visualization
System design
LLM inference

Additional Information

Minimum Education: Bachelor's degree or higher in a relevant technical field, such as computer science, electrical engineering, civil engineering, or mathematics.
Required Previous Experiences: At least 3 years of experience building production infrastructure, distributed systems, or data platforms.
Preferred Qualifications: Deep expertise in distributed systems, storage and query engines, compute orchestration, or large-scale data platforms.
Experience improving the performance, reliability, or efficiency of compute-intensive and data-intensive systems.
Understanding of LLM inference optimization and the performance characteristics of conversational, agentic, or other emerging AI workloads.
Familiarity with architecture simulation, performance modeling, high-performance computing, GPU computing, or AI workloads.
A record of strong technical ownership and impact through industry work, research, or open-source contributions.
Translation Company Name: NVIDIA