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, multi petabyte-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 are building or 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, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning.
Responsibilities
- Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc) faster, adaptable, and more maintainable
- Manage and optimize large scale distributed compute/HPC clusters
- Automate/troubleshoot a broad range of technical infrastructure
- Troubleshoot hardware and software issues
- Operating system installation and upgrading
- Performance testing and tuning
- Scripting to automate repetitive tasks
- Working with vendors to resolve issues
Qualifications
- 5+ years of relevant experience
- Expertise in installation, configuration, and troubleshooting of Linux systems
- Comfortable using Linux/UNIX command line tools
- Experience with configuration management tools
- Python and Shell scripting experience
- Attention to detail needed to manage and debug production services
- Strong communication and organization
- You enjoy tinkering with technology in your spare time
- Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
- You are resourceful, have a sense of urgency, and are motivated to make things better and to always be learning.
- Ability to context switch to work on several projects at once
- Experience and knowledge of Debian/Ubuntu is a plus
- GPU Optimization experience is a plus
Annual base salary range of $200,000 to $250,000. 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.
