Responsibilities: Core Trading Systems: Participate in the development of Rust-based real-time, low-latency trading systems, covering market data feeds, OMS, high-performance computing, smart algorithmic trading, and risk monitoring. Research Infrastructure: Build high-performance frameworks (Rust/Python/AWS) for computing, storage, and backtesting. Performance Optimization: Support systems handling massive trading volumes and resolve technical bottlenecks. Requirements Academic Background: Students graduating in 2026/2027 in Computer Science or related engineering fields. Core Capabilities: A pure passion for programming, a solid theoretical foundation in computer science (systems, networks, algorithms), and high-level architecture design skills. Language Mastery: Strong proficiency in at least one system-level programming language (e.g., Rust, C/C++, Go, Java). General Competencies: Exceptional learning agility, deep curiosity, strong self-drive, and excellent English technical documentation reading and writing abilities. Bonus Points: Top-tier achievements in prestigious programming competitions such as ICPC, CCPC, or IOI. Hands-on experience in distributed middleware, high-performance networking, database systems, or the Linux kernel. Familiarity with the Rust language or experience with the Python scientific computing stack (e.g., Polars, PyArrow, Numba). Familiarity with machine learning systems (e.g., PyTorch, JAX, CUDA) or cloud-native (AWS/GCP) practices. Deep understanding of agentic coding tooling and methodologies.