About the job
Join us for an exciting summer internship tailored for aspiring engineers eager to engage in real-world engineering projects within a dynamic production trading environment. As an intern, you will integrate into one of our engineering teams, contributing to code that operates in a production setting without any shadow work or sandbox projects.
You'll collaborate closely with seasoned engineers, receive direct feedback, and take ownership of well-defined problems that have a tangible impact. We encourage our interns to think critically, implement solutions, test their work, and iterate just like full-time engineers.
What You'll Work On
Interns will be assigned to one of our engineering teams (Tooling, Algo, OTC, or Core Systems) based on their skills and background, contributing to specifically defined engineering projects.
Key responsibilities may include:
Designing and developing high-quality internal software in a controlled environment.
Addressing well-defined, complex engineering challenges from start to finish.
Prototyping and validating innovative technical ideas and methodologies.
Analyzing existing systems to deliver focused, well-reasoned enhancements.
Participating in code reviews and technical discussions with experienced engineers.
This internship is not focused on research or learning only; you will be expected to produce functional software.
What We Expect From You
Strong foundational knowledge in computer science (algorithms, data structures, systems fundamentals).
Practical programming experience beyond academic coursework (projects, competitions, open-source contributions).
Familiarity with Linux-based operating systems.
Ability to think independently and formulate precise questions when faced with challenges.
Capacity to devise ideas and solutions for ambiguously defined open problems.
Ownership mindset: you take responsibility for completing your tasks.
Familiarity with Rust, Python, TypeScript, or systems programming is advantageous but not mandatory.
Who Should Apply
Students pursuing degrees in Computer Science, Software Engineering, Mathematics, or related disciplines.
Candidates who are comfortable with operating in a fast-paced, production-oriented environment.
