Summer 2027 Software Engineering Intern
PDT Partners is recruiting for Summer 2027 Software Engineering Intern in New York, NY. This listing was last seen on the firm's own job board on August 22, 2026.
A small research fund spun out of Morgan Stanley, hiring a handful of researchers a year.
What sets PDT Partners apart: Very small intake, in single digits most years. Research heritage from Morgan Stanley's process driven trading group. Statistics weighted far above coding speed.
Related preparation: Quantitative Developer (QD) Career Roadmap, Quant Infrastructure Engineer Roadmap, Quantitative Data Engineer Career Roadmap and Algorithmic Trading Developer Career Roadmap.
The role, as PDT Partners describes it, published on July 24, 2026 and reproduced from their job board:
Eligibility: Current Bachelor's, Master's, or PhD students pursuing degrees in rigorous, highly technical fields (e.g., Computer Science, Computer Engineering) who are eligible for full-time roles starting in 2028 or 2029. Program Length: 10 Weeks (Early June – Mid August) Application Process: Please apply directly through this posting. Applications are reviewed and candidates will progress on a rolling basis. You can anticipate receiving feedback on your application within 3 weeks. PDT Partners – a quantitative investment manager - is seeking talented engineering students for Software Engineering focused internships. We are looking for interns who can add to a company that values…
Face problems that don't have well-defined solutions - creativity will be essential to come up with the best possible answers, including ones that explore new technologies
Learn about financial markets and quantitative trading
Build an understanding of various trading technologies and make contributions to them
Develop tooling used for infrastructure management
Contribute to the infrastructure and maintenance of large-scale data sets
The internship offers opportunities to correctly apply new idioms, techniques, and algorithms in select areas, which may include:
Program correctness - resource management, exception safety, reentrancy/thread safety
Maintainability - portability, good coding practices, adherence to coding standards, unit testing, documentation
Efficiency - optimal data structures/algorithms, understanding of high-/low- level implications and trade-offs in design choices, parallelization
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.