Performance Engineer
NVIDIA· Engineer, Performance
ShanghaiFull-timePosted 2mo ago
About the role
Performance Engineer role in NVIDIA’s Perflab in Shanghai focused on designing, executing benchmarks and real-world use cases, analyzing performance, producing data-driven analyses, and building automation frameworks to optimize GPU performance across AI/LLM, gaming, workstation, and content-creation workloads.
Responsibilities
- Design, config and execute representative benchmark methodologies and real-world use cases that showcase product capabilities across AI/LLM, gaming, workstation, content-creation, and system workloads across servers, PCs, workstations, SoC and laptops.
- Analyze performance metrics and system telemetry to identify bottlenecks, regressions, and optimization opportunities.
- Produce clear, data-driven competitive analyses and technical reports that help internal and external stakeholders position NVIDIA products effectively.
- Develop and debug automation scripts for various benchmark performance and system monitoring data collection on Windows, Linux and MacOS.
- Build and maintain scalable automation frameworks, AI agents, dashboards, and data pipelines that improve testing efficiency, coverage, and analytical robustness.
Qualifications
- BS or MS degree
- 2+ years equivalent practical experience, in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
- Strong Python skills or proficiency in another scripting or programming language.
- Hands-on interest in AI/LLM workloads, PC gaming, workstation applications, and content-creation workflows.
- Solid understanding of PC and server architecture.
- Experience working with large datasets, and strong analytical and troubleshooting skills.
- Excellent communication, organizational, time management, and task prioritization skills.
Skills
Required:PythonAI/LLM workloadsPC/server architectureData analysisBenchmarkingAutomation scripting
Last updated Aug 14, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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