Skip to content

Posted February 12, 2026

Software Engineer - GPU reliability

Hudson River Trading

Category:Software Engineering

Location:New York

Seniority
Medior
Employment type
Full-time
Salary (per year)
$200k–$300k
Bonus
Yes

Requirements

  • 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
  • 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

About the role

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

  • 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

What you'll get

  • $200k–$300k base salary
  • medical
  • dental
  • vision
  • basic life insurance
  • enrollment in our company’s retirement savings plans
  • sick and parental leave
  • other paid time off (including 20 vacation days and 10 paid holidays in the US)

Skills

Python · GPU hardware · Unix · Linux · open-source software · Debian · systems configuration management · monitoring technologies · continuous integration · continuous deployment · networking protocols