Software Developer Intern
DRW is a Chicago-based diversified trading firm that uses technology, quantitative research, and risk management to provide liquidity across traditional and digital-asset markets.
About DRW
Founded by Don Wilson in 1992, DRW trades for its own account across global markets and operates strategies in cryptoassets, venture capital, real estate, carbon markets, and public-equity investments. Its crypto business, Cumberland, has provided institutional crypto-asset liquidity since 2014.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will join a development team supporting network development initiatives or trading businesses. You will design, develop, test, and deploy proprietary software, conduct data-driven research on large datasets, identify solutions to complex problems, and collaborate with developers, quantitative traders, researchers, and business analysts.
Requirements
- Pursuing a bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics, or a related science discipline
- Expected graduation date between December 2027 and June 2028
- Exposure to multithreaded applications, computational intelligence, algorithms, real-time programming, or GUI programming
- Strong understanding of object-oriented design, data structures, and algorithms
- Software development skills in at least one of Python, JavaScript, C++, Ruby, C#, Go, or Java
- Curiosity and ability to learn new technologies quickly
Responsibilities
- Design, develop, test, and deploy proprietary software development solutions
- Create MLOps and high-availability inference systems, data pipelines, agentic, RAG, and MCP tools, GPU optimization systems, and full-stack web applications and dashboards
- Identify innovative solutions to complex problems and advocate for their implementation
- Communicate ideas clearly and concisely
- Conduct data-driven research and statistical analysis on large datasets
- Collaborate with software developers, quantitative traders, researchers, and business analysts
Benefits
- Fully furnished apartment housing close to the office
- Educational, social, and team-building activities
- Options course taught by an experienced trader
- Technology immersion course
- Meaningful projects and mentorship