Job description

Hudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, exabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most. As a full-time Systems Engineer on our OS Platform team, you’ll work on projects that impact our live trading and research, allowing them to run with high performance, worldwide, 24/7. A typical day could include; deploying customized versions of core packages, building new infrastructure to manage deployments, troubleshooting low level issues and designing scalable solutions for the future. Additionally we are the front line supporting bleeding edge hardware, taking engineering samples from vendors and making sure we can squeeze most performance out of them when production hardware arrives. Responsibilities Manage and optimize large scale Linux distributed compute/HPC clusters Automate/troubleshoot a broad range of technical infrastructure, hardware and software Performance testing and tuning of the entire stack Scripting and writing services to automate repetitive tasks Working across teams and with vendors to resolve issues Managing changes to core OS / platform components in a large distributed environment Qualifications 5+ years of relevant experience Expertise in installation, configuration, and troubleshooting of Linux systems Experience and knowledge of Debian/Ubuntu specifically is a plus Experience with configuration management tools (Salt, chef etc) Python and Shell scripting experience. Basic C++ experience is a plus GPU experience is a plus (CUDA setup, basic debugging) Attention to detail needed to manage and debug production services Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT Proactive problem-solver who acts with urgency, drives continuous process improvements, and actively pursues ongoing learning Proven ability to prioritize and context-switch across multiple simultaneous projects without sacrificing quality The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, 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. Feel like you belong at HRT? 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. Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended. You can review our Global Applicant Privacy Notice , which explains how we process applicant information.

Requirements

Must-haves

Manage and optimize large scale Linux distributed compute/HPC clusters
Automate/troubleshoot a broad range of technical infrastructure, hardware and software
Performance testing and tuning of the entire stack
Scripting and writing services to automate repetitive tasks
Working across teams and with vendors to resolve issues
Managing changes to core OS / platform components in a large distributed environment
5+ years of relevant experience
Expertise in installation, configuration, and troubleshooting of Linux systems
Experience with configuration management tools (Salt, chef etc)
Python and Shell scripting experience.
Attention to detail needed to manage and debug production services
Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
Proactive problem-solver who acts with urgency, drives continuous process improvements, and actively pursues ongoing learning
Proven ability to prioritize and context-switch across multiple simultaneous projects without sacrificing quality
You can review our Global Applicant Privacy Notice , which explains how we process applicant information.

Nice-to-haves

Experience and knowledge of Debian/Ubuntu specifically is a plus
Basic C++ experience is a plus
GPU experience is a plus (CUDA setup, basic debugging)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

Platform: greenhouse
Effort: quick