Hudson River Trading Logo

Hudson River Trading

GPU Systems Engineer

Sorry, this job was removed at 06:17 p.m. (EST) on Tuesday, Nov 25, 2025
Be an Early Applicant
In-Office
New York, NY
In-Office
New York, NY

Similar Jobs at Hudson River Trading

6 Days Ago
In-Office
3 Locations
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Other • Automation
Design and optimize large-scale GPU compute clusters, troubleshoot performance bottlenecks, and automate system deployment across many nodes, collaborating with various teams.
Top Skills: AnsibleC/C++ChefCudaGpudirect RdmaLinuxNcclNvlinkPuppetPythonSalt
Yesterday
In-Office
4 Locations
175K-250K Annually
Mid level
175K-250K Annually
Mid level
Artificial Intelligence • Fintech • Hardware • Other • Automation
Fullstack Developers build backend processes and UIs for trading operations, collaborating with Algo Developers and traders to enhance trading capabilities.
Top Skills: JavaScriptPythonReactTypescript
2 Days Ago
In-Office
New York, NY, USA
175K-250K Annually
Mid level
175K-250K Annually
Mid level
Artificial Intelligence • Fintech • Hardware • Other • Automation
Develop distributed storage systems for HRT's needs, collaborate with peers, and enhance data storage libraries and tools for research teams.
Top Skills: C++Distributed SystemsLinuxUnix

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

  • Design, build, and optimize large-scale distributed GPU compute clusters
  • Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
  • Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
  • Automate system deployment, monitoring, and troubleshooting across thousands of nodes
  • Collaborate with research, and engineering teams to support evolving workloads
  • Own critical infrastructure projects — from concept to implementation and support
  • Test and deploy new hardware and software, and partner with vendors to resolve complex issues
Qualifications 
  • 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
  • Extensive experience in Linux system installation, performance tuning, and troubleshooting
  • Expertise in troubleshooting distributed GPU workloads
  • Deep knowledge around GPU optimization and performance  
  • Proficiency in Python scripting and automation frameworks 
    • CUDA or C/C++ experience is a plus
  • Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
  • Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
  • Comfortable diagnosing complex system issues at the hardware, OS, and network levels
  • Strong communication and organizational skills; able to collaborate across diverse technical teams
  • Thrive in fast-paced environments and excited by high-impact work

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.

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.

HQ

Hudson River Trading New York, New York, USA Office

175 Greenwich Street, 76th Floor, New York, NY, United States, 10007

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account