高级软件工程师（代币工厂）
Senior Software 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的全流程，而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领域都负责解决难题。
在纳斯达克上市（股票代码：NBIS），总部位于阿姆斯特丹，我们在欧洲、英国、北美和以色列设有研发中心，拥有全球化的业务布局。我们的团队超过1500人，其中包括数百名在硬件、软件和AI研发方面具有深厚专业知识的工程师。
职位描述
该职位属于Nebius AI R&D团队，专注于应用研究和AI密集型产品的开发。我们近期发表的应用研究成果包括：
- 研究如何利用测试时引导搜索构建更强大的智能体；
- 大幅扩展任务数据收集，以支持SWE智能体的强化学习；
- 提高LLM在智能体轨迹上的训练效率。
我们深度参与的一个AI产品是Nebius Token Factory——一个用于AI模型的推理和微调平台。
该职位需要具备分布式系统方面的专业知识，以构建大规模LLM训练平台。
你的职责将包括：
- 设计和开发LLM训练平台。
- 维护我们的ML基础设施，确保性能、可扩展性和可靠性达到最佳状态。
- 优化作业调度策略，以减少资源碎片化。
我们期望你具备：
- 5年以上专业软件开发经验。
- 强大的软件工程技能（我们主要使用Python和Go）。
- 熟练掌握现代软件工程方法，包括CI/CD、版本控制和单元测试。
- 具有开发Web服务的经验。
- 对所有与工作相关的活动保持极高的严谨性。
加分项：
- 有使用语言模型或其他类似NLP技术的经验。
- 在动态的初创公司环境中构建并交付过产品（不一定是ML相关）。
- 强大的工程能力，包括开发大规模分布式系统或高负载Web服务的经验。
- 展示你工程能力的开源项目。
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.
The role
This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:
- investigating how test-time guided search can be used to build more powerful agents;
- dramatically scaling task data collection to power reinforcement learning for SWE agents;
- maximizing efficiency of LLM training on agentic trajectories.
One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.
This role will require expertise in distributed systems to build large-scale LLM training platform.
Your responsibilities will include:
- Designing and developing LLM training platform.
- Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
- Improving job scheduling strategies to minimize resource fragmentation.
We expect you to have:
- 5+ years of professional software development experience.
- Strong software engineering skills (we mostly use Python and Go).
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- Experience with developing web services.
- A commitment to maintaining extreme rigor in all job-related activities.
Nice to have:
- Previous experience working with language models or other similar NLP technologies.
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess.
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.