Internship Duration
- Minimum of 8 Weeks
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.