出海雷达

Senior Systems Software Engineer, CUDA and AI HW Profiler

AI开发工程限定地区(需当地身份)
公司NVIDIA
薪资$152,000 - $287,500/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

现在,我们正在利用人工智能来定义下一个计算机时代的无限潜力。我们的 GPU 作为能够理解世界的大脑,机器人和自动驾驶汽车的时代。做以前从未完成过的事情需要视觉,创新和世界上最好的才华。作为 NVIDIAN,你将沉浸在多元化的支持环境中,每个人都会受到启发去做自己的最佳工作。加入团队看看你如何对世界产生持久影响。你的贡献将是为构建我们配置工具的未来和帮助工程师充分利用 GPU 技术的全部力量来实现明天新的突破!你将做什么:·设计和实施针对我们的 GPU 配置工具的创新功能,专注于 AI 应用程序。·应用自己的知识和技能来建立世界各地 CUDA 开发人员即时使用的工具。· 与 NVIDIA 内的其他团队合作和互动,包括编译团队以及 CUDA 驱动团队,从下起影响并设计新的功能。我们需要看到的是:· 5年以上经验证明的软件工程专注于性能工具。· BS EE/CS (或同等体验). · C++. · 强大的编程技能。· 现有知识 GPU 硬件和/或激励学习。如何脱而出群众:· CUDA 内核编程和配置文件方面的专业知识。· 有识分析 DWARF 的知识 · 高兴地应用你的知识,并且渴望在快速发展环境中学习新技能。· 卓越的人际技能和作为一个动态团队的一部分有效合作的能力。被广泛认为是科技世界最受欢迎的雇主之一,NVIDIA 提供高度竞争力的工资和全面的福利包。当你计划你的未来时,看我们可以为你和你的家人提供的东西 你的基本薪水将根据你的位置,经验以及类似职位的工作人员的报酬确定。

查看英文原文

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and develop groundbreaking performance tools for GPUs that cater to both newcomers and top-tier CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow’s breakthroughs!

What you'll be doing:

  • Design and implement innovative features for our GPU performance profiling tools with a focus on AI applications.
  • Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
  • Collaborate and interact with other teams within NVIDIA, including compiler team as well as the CUDA driver team, to influence and design new features from the bottom up.

What we need to see:

  • 5+ years proven experience in software engineering with a focus on performance tools.
  • B.S. EE/CS (or equivalent experience).
  • Strong programming skills in C++.
  • Existing knowledge of GPU hardware and/or motivated to learn.

Ways to stand out from the crowd:

  • Expertise in CUDA kernel programming and profiling.
  • Knowledgeable in parsing DWARF
  • Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
  • Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
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 October 24, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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

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