Job description

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale. Responsibilities This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include: Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently Analyzing GPU job statistics to identify trends and areas for improvement Qualifications Required: BS and/or MS in computer science or a related field 2+ years of relevant experience, including programming in Python and managing GPUs Experience using automation to solve problems and improve process efficiency Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware Strong grasp of computer science fundamentals and software design patterns Solid understanding of Linux/UNIX operating systems Familiarity with open-source software Ability to debug and analyze problems quickly Skilled at balancing multiple tasks while maintaining meticulous attention to detail Ability to operate effectively as a team player and also work independently Ability to learn at a fast pace and apply new skills effectively Preferred: Understanding of Debian operating system Familiarity with systems configuration management and monitoring technologies Familiarity with continuous integration and continuous deployment tools and processes Understanding of networking protocols The estimated base salary range for this position is 200,000 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 which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. 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

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:
Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently
Analyzing GPU job statistics to identify trends and areas for improvement
BS and/or MS in computer science or a related field
2+ years of relevant experience, including programming in Python and managing GPUs
Experience using automation to solve problems and improve process efficiency
Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
Strong grasp of computer science fundamentals and software design patterns
Solid understanding of Linux/UNIX operating systems
Familiarity with open-source software
Ability to debug and analyze problems quickly
Skilled at balancing multiple tasks while maintaining meticulous attention to detail
Ability to operate effectively as a team player and also work independently
Ability to learn at a fast pace and apply new skills effectively

Nice-to-haves

Understanding of Debian operating system
Familiarity with systems configuration management and monitoring technologies
Familiarity with continuous integration and continuous deployment tools and processes
Understanding of networking protocols
You can review our Global Applicant Privacy Notice , which explains how we process applicant information.

Application prep

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

Keywords to mirror

pythonai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave