
澳蒂华
Career Kickstarter: Tech
Career Kickstarter: Tech
发布于 6 个月前实习/见习
Amsterdam
无经验要求
实习生
仅现场办公
本科
软件工程
交易系统
算法
系统设计
高性能计算
低延迟平台
AI 估算 · 30k–45k
作为顶尖科技交易公司的毕业生项目,薪资极具竞争力,旨在吸引顶尖技术人才,并提供清晰的职业发展路径。
职位详情
关于这个职位
这是一个为期五天的职业启动项目,专为渴望探索构建关键交易系统挑战的学生设计
参与者将在阿姆斯特丹总部参与实践编码、系统设计研讨会和协作工程项目,模拟工程师的真实工作
表现优异者将有机会直接获得毕业生软件工程师的录用通知
最低要求
必须是计算机科学、计算机工程或相关技术领域的在读学生或毕业生(学士、硕士或博士学位),毕业日期在2024年5月至2027年8月之间
精通行业标准编程语言,如C++、Python或Java,并对底层计算机架构和系统操作有深刻理解
扎实掌握算法、内存和并发模型、CPU架构、操作系统和关系数据库
正在就读或毕业于欧盟、欧洲经济区或英国的大学
在申请时能够证明已具备必要的签证或其他旅行安排或许可,以便亲自参加该计划
能够在项目结束后直接开始全职软件工程师工作,最迟不晚于2027年9月
无需金融或交易经验
好奇心、解决问题的能力和学习意愿最为重要
工作职责
实践工程:参与一个真实的工程项目,挑战您作为真实工程团队的一部分进行设计、构建和迭代
技术探索:参加高级工程师的讲座和小组讨论,探索潜在的职业道路,了解真实系统是如何设计、构建和改进的
系统思维:参加系统设计研讨会,学习高性能系统是如何架构、优化和扩展的
文化沉浸:体验Optiver的公司文化,并亲身体验我们的福利,包括每日早餐、午餐、咖啡等
行业洞察:深入了解行业,并建立在高绩效环境中脱颖而出所需的信心
AI 洞察
优缺点分析
优点
- Provides a direct pathway to a full-time Graduate Software Engineer role at a leading global trading firm, offering exceptional career acceleration.
- Gain hands-on experience with cutting-edge, low-latency trading systems and exposure to real-world engineering challenges at scale.
- The program is fully funded (accommodation, travel, meals), reducing financial barriers and allowing complete focus on learning and networking.
- Offers deep immersion into a high-performance tech culture and the opportunity to learn directly from senior engineers in the field.
- The program is highly competitive, with selection based on technical assessments and interviews, requiring strong preparation.
- The work involves complex, high-stakes systems where performance and accuracy are critical, which can be intellectually demanding.
- The trading industry is fast-paced and can involve high-pressure environments, which may not suit everyone's working style.
- This position is ideal for current students or recent graduates in computer science or related fields who are curious, collaborative, and excited to apply their technical skills to solve complex, real-world problems in a high-performance environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Top performers receive direct offers to join as Graduate Software Engineers, providing a fast-track entry into a leading tech-driven trading firm.
- The role offers exposure to low-latency platforms, machine learning pipelines, and real-time execution workflows, setting a foundation for specialization in high-performance systems or quantitative engineering.
- Working at a global market maker like Optiver opens doors to international career opportunities within the finance and technology sectors.
- Participate in a 5-day intensive program focused on building mission-critical trading systems through hands-on coding and collaborative projects.
- Engage in system design workshops to learn how to architect, optimize, and scale high-performance systems.
- Attend lectures and panels with senior engineers to explore technical career paths and understand real-world system development.
- Strong proficiency in at least one of C++, Python, or Java, with a deep understanding of computer architecture and system operations.
- Solid grasp of core computer science concepts including algorithms, memory/concurrency models, CPU architecture, operating systems, and relational databases.
- Problem-solving ability, curiosity, and a collaborative mindset to work effectively on real engineering challenges.
申请策略
- Research Optiver's role as a market maker and their technology stack to demonstrate genuine interest and understanding during the application and interview process.
- Prepare for the two-stage process (online assessment and technical interview) well in advance of the February 2026 deadline.
- Clearly showcase projects or coursework that demonstrate proficiency in C++, Python, or Java, especially those involving system-level programming or performance optimization.
- Highlight any experience with algorithms, data structures, operating systems, or databases, as these are core requirements mentioned in the JD.
- Emphasize collaborative projects or team-based work to demonstrate your ability to work effectively in an engineering team setting.
- If applicable, mention any academic achievements, awards, or relevant extracurricular activities that show technical curiosity and problem-solving ability.
- Sharpen your problem-solving skills by practicing algorithm and data structure problems on platforms like LeetCode, focusing on efficiency and optimization.
- Deepen your understanding of system design principles by studying concepts like scalability, latency, and concurrency, and reviewing case studies of large-scale systems.
面试指南
- For technical questions, structure your answer: clearly state the problem, explain your thought process and considerations (e.g., trade-offs between different approaches), and then present your solution.
- For behavioral questions, use the STAR method (Situation, Task, Action, Result) to provide a concrete example that demonstrates the required skill or quality.
- Always link your answers back to the core themes of the role: high-performance systems, problem-solving, collaboration, and a genuine interest in the trading/tech domain.
- Explain a challenging technical project you worked on and how you approached the problem-solving.
- Describe how you would design a low-latency system for processing high-frequency trading data.
- Write a function to solve a specific algorithmic problem (e.g., involving concurrency, memory management, or optimization).
- What interests you about working at a trading firm like Optiver, and what do you know about our business?
- Tell us about a time you had to collaborate in a team to overcome a technical obstacle.
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