Systems Engineer - R&D
About The Position
Hudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, exabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most. As a full-time Systems Engineer on our OS Platform team, you’ll work on projects that impact our live trading and research, allowing them to run with high performance, worldwide, 24/7. A typical day could include; deploying customized versions of core packages, building new infrastructure to manage deployments, troubleshooting low level issues and designing scalable solutions for the future. Additionally we are the front line supporting bleeding edge hardware, taking engineering samples from vendors and making sure we can squeeze most performance out of them when production hardware arrives.
Requirements
- 5+ years of relevant experience
- Expertise in installation, configuration, and troubleshooting of Linux systems
- Experience with configuration management tools (Salt, chef etc)
- Python and Shell scripting experience.
- Attention to detail needed to manage and debug production services
- Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
- Proactive problem-solver who acts with urgency, drives continuous process improvements, and actively pursues ongoing learning
- Proven ability to prioritize and context-switch across multiple simultaneous projects without sacrificing quality
Nice To Haves
- Experience and knowledge of Debian/Ubuntu specifically is a plus
- Basic C++ experience is a plus
- GPU experience is a plus (CUDA setup, basic debugging)
Responsibilities
- Manage and optimize large scale Linux distributed compute/HPC clusters
- Automate/troubleshoot a broad range of technical infrastructure, hardware and software
- Performance testing and tuning of the entire stack
- Scripting and writing services to automate repetitive tasks
- Working across teams and with vendors to resolve issues
- Managing changes to core OS / platform components in a large distributed environment
Benefits
- competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
