About the job
Join the forefront of algorithmic trading at Hudson River Trading (HRT), one of the leading firms in the industry. Our research cluster is pivotal to our operations, serving as the creative engine for our trading strategies.
We leverage a sophisticated, customized research environment equipped with state-of-the-art CPU and GPU computing, advanced storage solutions, and high-performance networking technology. Our team comprehensively addresses the software stack, from developing user-level APIs to enhancing performance through low-level caching. Our challenges range from theoretical concepts, such as equitable resource scheduling, to practical tasks, including optimizing run-time performance for traders' programs.
As a Distributed Compute Engineer in a user-centric setting, you will craft and refine technical solutions that enhance research efficiency and accessibility. You will collaborate daily with a mix of talented quantitative traders and software engineers across various trading teams.

