高级数学库工程师 - LLM集成与开发者体验
Senior Math Libraries Engineer - LLM Integration and Developer Experience
我们正在寻找一位充满热情和活力的工程师，以加速将CUDA-X数学库软件堆栈中的API集成到现代LLM和代理AI工作流中。全球领先的组织正在使用GPU驱动的数据中心进行AI、数据分析和科学模拟，推动了LLM、计算机视觉、CAE、EDA和自动驾驶汽车等领域的发展。我们的团队开发这些技术所需的GPU加速库和SDK。
在这个职位中，你将负责确保使用LLM和AI代理的工程师能够通过有效利用CUDA-X库轻松构建高性能应用。你是否具备罕见的技术、开发者经验和沟通技能的结合？如果是，我们很乐意了解更多关于你的信息！
你将负责的工作：
- 推动为LLM优先设计的数学库API和文档结构的架构和实现：可检查、可解释，并易于被AI代理合成。
- 与内部和外部利益相关者合作，及时交付增强LLM的库版本。
- 构建指标、工具和流程，以衡量LLM/代理代码生成的影响和质量。
- 原型化工具和解决方案，帮助将数学库的API转换为流行的代码生成工具中的LLM友好表示。
我们需要看到的：
- 计算科学、计算机科学、应用数学或相关科学或工程领域的硕士或博士学位（或同等经验）优先
- 3年以上工作经验
- 对LLM、微调、强化学习、构建RAG、MCP和构建代理工具具有扎实的知识
- 有设计清晰、可组合API并为复杂技术领域编写高质量、良好文档代码的实证经验
- 能够优先处理多个项目，并在极少指导的情况下独立工作
- 优秀的协作、沟通和文档习惯
脱颖而出的方式：
- 在AI辅助软件工程、代码生成或编程语言设计方面有相关工作经验
- 熟悉CUDA-X数学库API：cuBLAS、cuFFT、cuSOLVER、cuSPARSE等
NVIDIA于1999年发明GPU，推动了个人电脑游戏市场的发展，重新定义了现代计算机图形学，并革新了科学和工程领域的并行计算。最近，GPU深度学习点燃了现代AI——计算的新时代——GPU成为计算机的大脑。
查看英文原文
We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies.
In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you!
What You'll Be Doing:
- Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents.
- Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
- Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation.
- Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools.
What We Need To See:
- PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience)
- 3+ years of experience
- Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling
- Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains
- Ability to prioritize multiple projects and work independently with minimal direction
- Excellent collaboration, communication, and documentation habits
Ways To Stand Out From The Crowd:
- Prior work in AI-assisted software engineering, code generation, or programming language design
- Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE, etc.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. 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're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, 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. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.Originally posted on Himalayas