Software Engineer - Distributed Compute
Hudson River Trading, Singapore +1
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Not stated
- Area
- Infra, platform & SRE
- Posted
- Jan 27, 2026
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About the role
Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.
We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance.
As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work every day with both talented quantitative traders and software engineers across all trading teams.
Responsibilities
- Ensure HRT’s research environment is best in class, with a focus on user workloads
- Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
- Optimize workloads at the user level to speed up user iteration speed
- Tune workloads at the infrastructure level to make them more resource-efficient
- Share metrics and real-time information with users to give insight into workload behavior
- Sit down with users to understand their specific technical needs
- Contribute individually and through leadership and coordination of the above
- Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Strong C++ expertise (daily use preferred)
- Python familiarity preferred
- Experience collaborating closely with quantitative researchers and traders to understand their needs
- Great communication capabilities
- Superior design, debugging, and problem solving skills
- Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
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Listed on Hudson River Trading's Greenhouse job board; checked 6 h ago. First seen by us 34 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.