Hudson River Trading Logo

Hudson River Trading

GPU Systems Engineer

Posted 3 Hours Ago
Be an Early Applicant
In-Office
New York, NY
200K-300K
Senior level
In-Office
New York, NY
200K-300K
Senior level
As a GPU Systems Engineer, design and optimize large-scale GPU compute clusters, troubleshoot performance issues, and automate system deployment while collaborating with various teams.
The summary above was generated by AI

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

Annual base salary range of $200,000 to $300,000. Pay may vary depending on job-related skills and experience. A sign-on and discretionary performance bonuses may also be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

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.

Top Skills

Ansible
C/C++
Chef
Cuda
Gpudirect Rdma
Linux
Nccl
Nvlink
Puppet
Python
Salt

Similar Jobs at Hudson River Trading

Yesterday
In-Office
New York, NY, USA
150K-250K
Senior level
150K-250K
Senior level
Artificial Intelligence • Fintech • Other • Automation
Design, manage, and troubleshoot low-latency trading networks. Collaborate with teams, enhance global platforms, and oversee technical projects.
Top Skills: AnsibleAristaAWSAzureBgpCiscoElkGCPGitGrafanaIgmpOspfPimPrometheusPythonSaltTcpdumpUnix/LinuxWireshark
4 Days Ago
In-Office
New York, NY, USA
175K-250K
Mid level
175K-250K
Mid level
Artificial Intelligence • Fintech • Other • Automation
Develop software tools for internal use at HRT using Python or C++. Manage application lifecycle, collaborate with peers, and improve developer experiences.
Top Skills: C++Python
4 Days Ago
Hybrid
New York, NY, USA
100K-150K
Mid level
100K-150K
Mid level
Artificial Intelligence • Fintech • Other • Automation
The Electronic Trading Support Engineer manages live trading operations, supports trading desks, interfaces with exchanges, and ensures compliance in a fast-paced environment.
Top Skills: BashPerlPythonUnix

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account