高级GPU功能建模架构师
Senior GPU Functional Modeling Architect
我们的工作专注于视觉和人工智能计算的计算模型。二十年来，NVIDIA 在视觉计算领域处于领先地位，这是计算机图形学的艺术与科学，得益于我们发明的GPU。GPU也被证明在解决计算机科学中最复杂的问题方面非常有效。如今，NVIDIA 的GPU模拟人类智能，运行深度学习算法，并作为能够感知和理解世界的计算机、机器人和自动驾驶汽车的大脑。我们希望与世界上最聪明的人一起壮大公司和团队，现在加入我们的团队比以往任何时候都更加激动人心！
NVIDIA 架构建模小组正在寻找架构师、功能建模工程师和仿真专家，加入各个GPU架构团队的架构工作。在这个职位中，您将与其他世界级架构师合作，为跨GPU代际的功能仿真平台提供支持。
您将负责：
- GPU 架构、底板组件和其他功能的建模
- 在矩阵环境中，跨不同建模团队，编写文档、设计、开发用于分析和仿真的工具，验证和确认模型
- 熟悉 Nvidia 内部的不同功能和性能仿真模型，并处理建模功能
- 为新架构/功能开发测试、测试计划和测试基础设施
- 指导仿真平台的改进，并扩展其他资源以支持未来的GPU架构
- 利用AI帮助日常任务
我们期望看到：
- 计算机科学、电子工程、计算机工程或相关领域的学士、硕士、博士或同等经验，且在相关领域有5年以上经验
- 精通C++、C语言以及Python或Perl等脚本语言
- 计算机架构方面的扎实背景，有建模经验（System C和TLM优先）
- 精通Python和ML框架如PyTorch、TensorFlow和LangChain
- 强大的问题解决和调试能力，有推动问题解决的记录
- 有效的沟通和人际交往能力，能够在分布式团队环境中成功工作
- 与设计和工程团队有很强的协作能力
查看英文原文
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU Architecture teams. In this position, you will be working with other world-class architects on enabling functional simulation platforms across GPU generations.
What you’ll be doing:
- Modeling of GPU architecture, baseboard components and other features
- Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models
- Familiarize with different functional and performance simulation models across Nvidia and work through modeling features
- Develop tests, test plans and testing infrastructure for new architectures/ features
- Guide the improvement of the simulation platform and expand other resources to support future GPU architectures
- Develop or use AI to help with day-to-day tasks
What we need to see:
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas
- Proficient programming skills in C++, C, and scripting languages such as Python or Perl.
- Solid background in Computer Architecture with experience in modeling (System C & TLM preferred)
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain
- Strong problem-solving and debugging skills, with a track record of driving issues to closure
- Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment
- Strong collaboration skills with design and engineering teams
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 24, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas