高级系统 GPU 性能工程师 at NVIDIA

部门：Engineer, ASIC

语言

工作方式: 现场办公
地点: 中国上海市黄浦区
职位类型: 全日制
级别: senior
发表: 2026年9月30日

说明

NVIDIA 正在招聘一名高级系统 GPU 性能工程师，以最大限度地提升量产 GPU 系统的性能和能效。该职位负责系统级特性分析、实验设计、瓶颈分析、根因问题闭环，以及跨芯片、固件、驱动程序、BIOS、平台和软件的性能与功耗改进产品化。要求具备相关工程或计算机科学领域的学士或硕士学位，至少 8 年 GPU 或系统性能工程经验，深入了解 GPU 架构，并具备使用 Python 以及 C、C++、SQL、JMP 中一种或多种语言/工具（或同等工具）进行编程和分析的技能。

所需技能

GPU 特性分析
产品分档
GPU 架构
Python
C/C++/SQL
实验设计
性能建模
根因分析

附加信息

Minimum Education: Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent experience
Required Previous Experiences: 8+ years of experience in GPU or system performance engineering, post-silicon characterization, silicon productization, or hardware-software performance optimization
Hands-on experience with silicon bring-up, frequency and power characterization, product binning, and performance-per-watt optimization
Programming and analysis experience using Python and C, C++, SQL, JMP, or equivalent, including automation, data processing, and visualization
Preferred Qualifications: Track record of shipping GPU performance or power features that improved application performance, performance per watt, product segmentation, or time to market
Experience optimizing large GPU, CPU, AI accelerator, or complex SoC platforms for datacenter, gaming, automotive, robotics, or embedded products
Deep experience with GPU profiling, workload characterization, production telemetry, performance counters, or simulation-to-silicon correlation
Experience building reusable performance models, test frameworks, or analysis methodologies adopted across multiple silicon programs or advanced process nodes
Experience applying AI tools to accelerate experiment design, anomaly detection, debugging, analysis, or reporting workflows
Translation Company Name: NVIDIA