系统工程师（代币工厂）
System Engineer (Token Factory)
关于Nebius：
Nebius正在引领全球AI经济的云基础设施新纪元。我们构建了一个全栈AI云平台，支持开发者和企业从数据和模型训练到生产部署，无需承担自建大型内部AI/ML基础设施的成本和复杂性。
由工程师打造，为工程师而生。从大规模GPU编排到推理优化，我们在计算、存储、网络和应用AI领域掌握着最困难的问题。
在纳斯达克上市（NBIS），总部位于阿姆斯特丹，我们拥有覆盖欧洲、英国、北美和以色列的全球研发中心。我们的团队超过1500人，包括数百名在硬件、软件和AI研发方面具有深厚专业知识的工程师。
关于该职位：
Token Factory是Nebius Cloud的一部分，这是全球最大的GPU云之一，运行着数以万计的GPU。我们正在构建一个推理平台，使各种基础模型——文本、视觉、音频以及新兴的多模态架构——在大规模部署时变得快速、可靠且轻松。
职责：
- 开发并优化AI推理的底层内核和运行时组件
- 提升推理引擎在GPU平台上的性能
- 分析和调试系统级和硬件级性能问题
- 集成对新型硬件架构（Hopper、Blackwell、Rubin）的支持
- 与ML和后端团队合作，优化端到端执行
所需资格：
- 精通C++，或具备专注于低级别高性能编码和内存管理的GPU编程经验
- 具有GPU编程或系统级软件开发经验，例如操作系统内部、内核模块或设备驱动程序
- 熟练使用分析和调试工具，在CPU和GPU上识别性能问题，并根据发现优化代码
- 对CPU/GPU架构和内存层次结构有扎实的理解
优先考虑的资格：
- 具有GPU计算编程经验：CUDA、ROCm、CUTLASS、Cute、ThunderKittens、Triton、Pallas、Mosaic GPU
- 熟悉ML推理运行时（如TensorRT、TVM）
- 了解Linux内部、驱动程序或编译器工具链
- 具备使用perf、VTune、Nsight或ROCm分析器等工具的经验
- 熟悉流行的推理引擎（如vLLM、sglang、TGI）
我们会在招聘过程中进行编码面试
查看英文原文
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the role:
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.
Responsibilities:
- Develop and optimize low-level kernels and runtime components for AI inference
- Improve performance of inference engines GPU platforms
- Profile and debug system-level and hardware-level performance issues
- Integrate support for new hardware architectures (Hopper, Blackwell, Rubin)
- Collaborate with ML and backend teams to optimize end-to-end execution
Required Qualifications:
- Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management
- Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers
- Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings.
- Solid understanding of CPU/GPU architecture and memory hierarchy
Preferred Qualifications:
- Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU
- Familiarity with ML inference runtimes (e.g. TensorRT, TVM)
- Knowledge of Linux internals, drivers, or compiler toolchains
- Experience with tools like perf, VTune, Nsight, or ROCm profiler
- Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI)
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.