AI编译工程师-应届毕业生2027
AI Compiler Engineer- New College Grad 2027
NVIDIA 在过去 25 多年里一直在改变计算机图形学、个人电脑游戏和加速计算。这是一段独特的创新历史,由伟大的技术和令人惊叹的人才所驱动。如今,我们正在利用人工智能的无限潜力,定义计算的新时代。在这个时代,我们的 GPU 成为能够理解世界的计算机、机器人和自动驾驶汽车的大脑。做以前从未做过的事情需要远见、创新以及世界上最优秀的人才。作为一名 NVIDIAN,你将置身于一个多元、支持性的环境中,每个人都能受到激励,发挥最佳水平。加入我们的团队,看看你如何对世界产生持久的影响。
我们正在寻找优秀的 AI 编译器工程师加入团队,开发机器学习编译器和 AI 系统方面的突破性技术。我们构建创新的 AI 编译器解决方案,与 NVIDIA 的软件堆栈协同工作,为现代机器学习模型提供全面的加速。作为团队的一员,你将为 NVIDIA 的硬件架构开发创新的 AI 编译器技术。你将开发新的 AI 编译器抽象,构建代理解决方案以加速机器学习系统工程,并优化高影响力机器学习工作负载。作为该职位的一部分,你将与 NVIDIA 内部的软件和硬件团队建立紧密的技术关系,将最新的进展推向 NVIDIA 的产品中。
你将负责:
- 创新并开发新的机器学习编译器和系统技术
- 设计、实现和优化针对高影响力 AI 工作负载的编译器
- 构建代理驱动的解决方案,以自动化整体开发流程
- 与当前和未来的 AI 编译器技术共同设计代理系统解决方案
- 与 NVIDIA 的其他工程团队密切合作,为机器学习加速构建高影响力解决方案
我们需要看到:
- 计算机科学、电子工程或相关领域的学士学位(或同等经验);硕士或博士优先
- 有机器学习系统开发经验——包括 ML 编译器、大语言模型推理内核、内核生成
- 强大的 Python、C/C++、GPU 编程技能
脱颖而出的方式:
- 在机器学习编译器方面有专长(例如 Apache TVM、MLIR)
- 有开发 AI 代理驱动解决方案和自动化的背景
- 在领域特定编译器和库方面有专长
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.
We are looking for outstanding AI compiler engineers to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA's software stack to provide comprehensive acceleration for modern machine learning models. As a member of the team, you will develop innovative AI compiler technologies for NVIDIA's hardware architecture. You will develop new AI compiler abstractions, developing agentic solutions to accelerate machine learning system engineering, and optimize high-impact machine learning workloads. As part of this role, you will be building a close technical relationship with internal NVIDIA software and hardware teams to push the latest developments to NVIDIA's product.
What you'll be doing:
- Innovate and develop new machine learning compiler and systems technologies
- Design, implement, and optimize compilers for high impact AI workloads
- Build agent driven solutions to automate the overall development flow
- Co-design agent system solutions with current and future AI compiler technologies
- Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for machine learning acceleration
What we need to see:
- Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD are preferred
- Experience in machine learning systems development – including ML compilers, LLM inference kernels, kernel generations.
- Strong python, C/C++, GPU programming skills
Ways To Stand Out From The Crowd:
- Expertise in machine learning compilers (e.g. Apache TVM, MLIR)
- Background in developing AI agent driven solutions and automation
- Expertise in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)
- Strong experience machine learning systems research and productization
- Open source project ownership or contributions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 21, 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