Hudson River Trading
Experienced C++ Developer, Distributed Compute
Hudson River Trading, New York, New York, us, 10261
Overview
Experienced C++ Developer, Distributed Compute — New York, NY, United States 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 everyday 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
Superior design, debugging, and problem solving skills
Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
The estimated base salary range for this position is $175,000 to $250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
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.
Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Note HRT is an equal opportunity employer and prohibits discrimination and harassment of any type. We provide reasonable accommodations to applicants with disabilities during the application process where required by law.
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Experienced C++ Developer, Distributed Compute — New York, NY, United States 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 everyday 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
Superior design, debugging, and problem solving skills
Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
The estimated base salary range for this position is $175,000 to $250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
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.
Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Note HRT is an equal opportunity employer and prohibits discrimination and harassment of any type. We provide reasonable accommodations to applicants with disabilities during the application process where required by law.
#J-18808-Ljbffr