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Hudson River Trading

GPU Systems Engineer

Hudson River Trading · Austin, TX, United States; Chicago, Illinois, United States; London, United Kingdom; New York, NY, United States; Norway

Posted about 3 months ago

or apply directly on Hudson River Trading's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Hudson River Trading's roles stay open a median of 81 days
Reposted
No
Salary listed
No
8% of Hudson River Trading's roles list one
Ghost-job risk at Hudson River Trading
high
74 stale, 0 reposted of 78 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Hudson River Trading's own greenhouse board since 2026-08-03. Full hiring picture for Hudson River Trading.

About this role

As a GPU Systems Engineer at Hudson River Trading, you will design, build, and optimize large-scale distributed GPU compute clusters while troubleshooting performance bottlenecks across various layers. You will collaborate with research and development teams to enhance GPU-based workloads, automate system deployment, and manage critical infrastructure projects from concept to implementation. This role requires a strong focus on performance tuning and system optimization in a high-impact, fast-paced environment.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Hudson River Trading as an employer.

What you need

  • 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
  • Comfortable diagnosing complex system issues at the hardware, OS, and network levels

Nice to have

  • 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)

What you get

  • Estimated base salary range of 150,000 to 300,000 USD per year
  • Discretionary performance-based bonuses
  • Competitive benefits package

Worth weighing

  • No specific mention of remote work flexibility or hybrid options
  • High-impact role may imply significant workload and pressure
  • Use of AI tools during interviews or assessments is strictly prohibited

Summarised from Hudson River Trading's posting. Read the full original.

Listed by Hudson River Trading on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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