Senior Compiler Engineer - AI

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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 NVIDIA N, 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 seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis, along with strong foundations in compiler design and domain-specific languages. This role is focused on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity. What you'll be doing: Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI. Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products. Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout. Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines. Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation. Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites. Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance. What we need to see: BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. 8+ years of software engineering and AI/ML experience, preferably in tools or systems development. Strong knowledge of compilers, code generation, and GPU architecture. Demonstrated proficiency in Python and C/C++. Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration. Experience building or integrating LLM-based systems, agents, or developer tooling in production environments. Ways to Stand Out From the Crowd Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems. Proven track record of deploying AI/ML solutions in production and embedded environments. Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality. Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads. Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering. 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 program manager wit

NVIDIA 在计算机图形、PC 游戏和加速计算领域已有超过 25 年的变革历程。这是一份独特的创新传承，由卓越的技术和杰出的人才共同推动。如今，我们正挖掘 AI 的无限潜力，定义下一个计算时代。在这个时代，我们的 GPU 将成为计算机、机器人和自动驾驶汽车的大脑，让它们能够理解世界。做前所未有的事情需要远见、创新和世界上最优秀的人才。作为 NVIDIA 的一员，你将沉浸在一个多元、支持性的环境中，每个人都被激励去发挥最佳水平。加入团队，看看你如何能为世界带来持久的影响。我们正在寻找一位在编译器技术方面拥有深厚专业知识的 AI 编译器工程师加入我们的团队。理想的候选人应在机器学习领域拥有广泛经验，包括强化学习、遗传/进化算法、预测建模、复杂系统和高维数据分析，同时在编译器设计和领域特定语言方面具备扎实基础。该职位专注于为生产编译器流水线构建 AI 驱动的编译器智能，在性能和效率方面实现可衡量的改进，并推进 LLM 赋能的工作流，用于编译器决策和开发者生产力。你将要做的事情：加入一个通过应用机器学习和 AI 推动编译器和开发者工具创新解决方案的团队。与世界级工程师合作，塑造为大规模、高影响力产品提供支持的下一代编译器能力。设计并实现端到端编译器优化工作流，从特征工程和模型开发到编译器集成和生产部署。开发基于学习的决策系统，并将其集成到编译器 pass、代码生成流程和优化流水线中。在 LLM 系统与编译器基础设施之间构建稳健的接口，用于优化建议、决策支持和工作流自动化。与编译器、架构和性能团队合作，在代表性工作负载和基准测试套件上验证影响。主导实验、评估和部署，并对可靠性、可扩展性和性能保持高标准。我们需要看到：计算机科学或相关领域的 BS/MS/PhD（或同等经验），专注于机器学习和编译器/开发者工具。8 年以上软件工程和 AI/ML 经验，最好是在工具或系统开发方面。深入了解编译器、代码生成和 GPU 架构。具备 Python 和 C/C++ 的熟练能力。具备与 AI/ML 和编译器技术相关的扎实数学和科学基础。具有基于 LLVM/MLIR 的编译器开发实践经验，包括优化 pass、代码生成或前端集成。具有在生产环境中构建或集成基于 LLM 的系统、代理或开发者工具的经验。脱颖而出的方式：深入熟悉强化学习、遗传/进化算法、预测建模和复杂系统。拥有在生产环境和嵌入式环境中部署 AI/ML 解决方案的可靠记录。具有将 LLM 集成到系统工作流中的丰富经验，并关注可靠性、延迟和评估质量。展示出可衡量的成果，例如在真实工作负载上的运行时收益、编译时间改进或效率提升。在编译器、AI/ML 系统或性能工程方面有论文发表、开源贡献或专利。凭借具有竞争力的薪资和丰厚的福利待遇，我们被广泛认为是技术世界中最令人向往的雇主之一。我们拥有一些世界上最具前瞻性和最勤奋的人为我们工作，并且由于前所未有的增长，我们独家的工程团队正在迅速壮大。如果你是一位富有创造力且自主性强的项目经理，具

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