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# GPU Systems Engineer

- **Company:** Hudson River Trading
- **Location:** Chicago, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Linux, Distributed Systems, Performance Tuning, Remote Direct Memory Access, Ansible, Infrastructure Automation Frameworks, Puppet
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/gpu-systems-engineer-hudson-river-trading-7808561

## About the Role

* 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

## Description

* 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


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