# Performance Engineer

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Performance-Engineer_JR2023110?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4924be83-dc7

## Description

NVIDIA is seeking a Performance Engineer to join its Perflab team in Shanghai. The successful candidate will work with innovative GPUs and optimize performance throughout the product lifecycle.

**Job Summary:** As a Performance Engineer at NVIDIA, you will design, configure, and execute benchmark methodologies and real-world use cases to showcase product capabilities across AI/LLM, gaming, workstation, content-creation, and system workloads. You will analyze performance metrics and system telemetry to identify bottlenecks, regressions, and optimization opportunities.

**Responsibilities:**

- Design, configure, and execute representative benchmark methodologies and real-world use cases

- Analyze performance metrics and system telemetry to identify bottlenecks, regressions, and optimization opportunities

- Produce clear, data-driven competitive analyses and technical reports

- Develop and debug automation scripts for benchmark performance and system monitoring data collection

- Build and maintain scalable automation frameworks, AI agents, dashboards, and data pipelines

**Requirements:**

- BS or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field

- 2+ years of equivalent practical experience

- 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

**Nice to Have:**

- Familiarity with NVIDIA GPUs and NVIDIA Technologies

- Working knowledge of AI inference or training, fine-tuning concepts

- Experience building, benchmarking, or operating AI platforms and LLM inference stacks

- Experience developing AI agents or agentic workflows

- Knowledge of containerized and virtualized workflows, including Docker, Kubernetes, and virtual machines

## Skills

### Required
- Python
- Computer Science
- Electrical Engineering
- Computer Engineering
- AI/LLM
- gaming
- workstation applications
- content-creation workflows
- PC and server architecture
- analytical and troubleshooting skills

### Nice to have
- NVIDIA GPUs
- NVIDIA Technologies
- AI inference
- training
- fine-tuning concepts
- AI platforms
- LLM inference stacks
- AI agents
- agentic workflows
- Docker
- Kubernetes
- virtual machines

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Performance-Engineer_JR2023110?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)