Summer 2027 Systems Engineering Intern

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.

Program Length: 10 Weeks (Early June – Mid August)

Application Process: Please apply directly through this posting. Applications are reviewed, and candidates will progress to the first-round technical assessment on a rolling basis. You can anticipate receiving feedback on your application within 3 weeks.

PDT Partners – a quantitative investment manager - is seeking talented students for internships focused on Infrastructure Engineering (Systems, Network, DevOps, Cloud, etc.). We are looking for interns who can add to a company that values creativity, energy, and collaborative problem solving.

Throughout our 10-week program, students work closely with supportive senior engineers on individual projects, receive hands-on personalized mentorship, and contribute to PDT's culture through both intern-specific and company-wide social events.

Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.

Internship Projects Members of our platform engineering teams are responsible for the design, implementation, and operational support of scalable and performant systems that are critical to our success. As a systems engineering intern, you will work closely with expert engineers on technically challenging projects to help research, implementation, and software engineering teams take their ideas from inception to production.

• 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 the infrastructure needed to support a quantitative trading business

• Gain experience with multicast market data distribution

• Analyze the latency impact of network buffering

• Automate the provisioning of cloud infrastructure, including compute, services, and storage

• Develop GitOps-driven configuration management for consistent global deployments at scale

• Add core components to our cloud-based Kubernetes infrastructure

Ideal candidates have the following knowledge and/or wish to learn more about:

• Using software and automation to solve problems

• Distributed computing, including hybrid cloud architectures

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