Senior Compiler Engineer, AI Inference Platforms
1999年 NVIDIA 发明的 GPU 引发了 PC 游戏市场的增长，重新定义了现代计算机图形，并彻底改变了平行计算。最近，GPU 深度学习启动了现代 AI 下一代计算机，GPU 作为计算机，机器人和自动驾驶汽车的大脑，可以感知和理解世界。今天，我们越来越被称作"AI 计算公司".我们正在寻找一个人工智能与深度学习编译工程师.NVIDIA 正在聘请软件工程师为其深度学习和人工智能编译器 (DLC) 团队。随着人工智能的快速进步，我们的 DLC 已成为 NVIDIA 推断引擎的脊柱，跨越数据中心，个人设备，汽车和机器人。编译器必须提供领先的推测性能，快速构建时间，减少记忆足迹以及简单使用的方式。加入团队建立了整个深度学习社区将使用的 DLC. 你将要做什么：·分析深度学习网络和开发编译器优化算法。·与深度学习软件框架团队成员以及 GPU 架构团队合作，以加速下一代深度学习的软件。· 这些努力范围包括定义公共 API,性能优化和分析，为 AI 工作负载和未来 NVIDIA GPU 制定和实施编译技术。我们需要看到的是：·计算机科学，计算机工程，相关领域或同等方面的学历。· 3年以上有关的工作或研究经验在性能分析和编译器優化方面。· 具有编译技术 （例如 MLIR,LLVM,XLA,Triton 等）的经验。· 优秀的 C/C++和 Python 编程和软件设计技能，包括调试，性能分析和测试设计。·独立工作的能力，定义项目目标和范围，并领导自己的开发努力。·强大的人际技巧以及在一个动态产品导向团队工作的能力都需要。如何脱而出群众：·熟练处理器和/或 GPU 架构。CUDA 或 OpenCL 编程经验。
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NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.
We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA’s inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.
What you’ll be doing:
- Analyzing deep learning networks and developing compiler optimization algorithms.
- Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.
- Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.
What we need to see:
- Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
- 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
- Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
- Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
- Ability to work independently, define project goals and scope, and lead your own development efforts.
- Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd:
- Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
- Understanding of deep learning models, algorithms and frameworks, such as PyTorch, JAX.
- GPU kernel authoring and performance analysis using tools such as Nsight Compute.
- A track record of success in mentoring early-career engineers and interns is a bonus.
- Track record on new hardware bring-up is a plus.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 27, 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