by Eric Goldlust | Oct 12, 2026 | Engineering
As our compute spreads around the world, we’re constantly shipping data from site to site. We built a system that joins service telemetry with eBPF tracing and network hardware byte counters to show us which users and programs are generating the most traffic.
by Yigit Efe Erginbas | Sep 4, 2026 | Intern Spotlight
Reinforcement learning has demonstrated spectacular success in complex, sequential decision-making problems, from mastering strategic games to controlling robotic systems. A natural question is whether these same principles can be applied to the noisy and dynamic...
by Victoria Ma, Josh Liu & Hadrian Reppas | Aug 24, 2026 | Engineering
Introduction As another internship season comes to a close, it’s time for our annual look under the hood at what our Software Engineering interns were up to last summer. Every year, our interns take on serious, independent projects, building systems and solutions that...
by Steven Roy | Nov 24, 2025 | Engineering
Fullstack @ HRT At Hudson River Trading, our Fullstack team bridges the gap between people and our highly automated systems. We build the complex interfaces and tools that let people navigate, control, and extend HRT’s vast trading infrastructure, as well as the data...
by Ethan Hunter | Oct 28, 2025 | Engineering
I’m on the Systems Dev team at HRT. My team is responsible for software development that supports Systems, Network, and Datacenter Engineers who maintain the computers HRT relies on for trading and research. While my team has a large variety of responsibilities, I’m...
by Joe Smith | Oct 2, 2025 | Engineering
It’s been over a decade since I last wrote something about HRT. A lot has changed since then. HRT is much larger, and we trade in many more venues and in many different time horizons. But I still feel like the fundamental vibe is, thankfully, similar. We do now have a...
by The Storage Dev Team | Aug 19, 2025 | Engineering
The ability to store and analyze vast amounts of data is table stakes for an algorithmic trading firm like HRT. Some of our storage requirements weren’t well met by existing solutions, so we decided to build and operate our own distributed filesystem, called Blobby....
by Noah Kim | Aug 8, 2025 | Engineering
Python @ HRT At Hudson River Trading (HRT), we’ve found that centralizing our codebase facilitates cross-team collaboration and rapid deployment of new projects. Therefore, the majority of our software development takes place in a monorepo, and our Python ecosystem is...
by Sean Li | Jun 20, 2025 | Intern Spotlight
Diffusion models are a widely popular model class for non-autoregressive generative modeling, yielding spectacular results in problem settings such as image generation. More recently, their application has been extended beyond computer vision into generative problems...
