Hudson River Trading

Software Engineer - GPU reliability

Hudson River Trading
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3 months ago
New York, NY, USAMid Level
H1B sponsor

Base Salary

$200k - $300k/yr

Responsibilities

  • Build and maintain software and automation for GPU management, monitoring, metrics collection, maintenance, and network configuration.
  • Troubleshoot software and hardware issues across application, network, operating system, and kernel layers on a fleet of GPU devices.
  • Collaborate with engineering teams to tune workloads and processes for more efficient GPU utilization.
  • Analyze GPU job statistics to identify trends and opportunities for infrastructure improvement.

Requirements

  • Bachelor’s and/or master’s degree in computer science or a related field.
  • At least 2 years of relevant experience, including Python programming and GPU management.
  • Experience using automation to solve problems and improve process efficiency.
  • Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware.
  • Strong computer science fundamentals and software design pattern knowledge.
  • Solid understanding of Linux/UNIX operating systems and familiarity with open-source software.
  • Ability to debug and analyze problems quickly, manage multiple tasks with attention to detail, and work both independently and collaboratively.
  • Preferred: understanding of Debian, familiarity with systems configuration management and monitoring technologies, familiarity with CI/CD tools and processes, and understanding of networking protocols.

Benefits

  • Discretionary performance-based bonuses and a competitive benefits package.
  • Medical, dental, vision, and basic life insurance.
  • Company retirement savings plan enrollment.
  • Sick leave, parental leave, 20 vacation days, and 10 paid holidays in the US; policies vary by location.

Tech Stack

Categories

Hudson River Trading

About Hudson River Trading

1,001-5,000 employees

Hudson River Trading is a privately held quantitative trading firm that researches and builds automated trading algorithms and low-latency systems. It trades its own capital across global electronic markets in multiple asset classes, often acting as a liquidity provider. Founded in 2002 and headquartered in New York, the firm runs a large-scale trading platform with around-the-clock operations supporting live market activity and risk controls.

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