HPC Storage Engineer at Hudson River Trading

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

250000.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

HPC Storage, Distributed File Systems, NAS Storage Solutions, Large Scale Storage Deployments, Enterprise Storage Solutions, Linux Troubleshooting, NFS, Linux Software RAID, ZFS, Python, Shell Scripting, Cross-Functional Communication, Problem Solving, Time Management, Independent Work, Collaborative Work, Eager to Learn

Industry

Financial Services

Description

The R&D team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The team manages over 100 petabytes of storage to facilitate industry-leading AI/ML-based trading. We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have plenty of freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment. Responsibilities Design and manage a variety of storage solutions Research and experiment with new storage solutions Troubleshoot complex storage, OS, and networking issues Build tools to improve the performance and monitoring of storage clusters Qualifications Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) Ability to design a home grown NAS storage solution with redundancy and high availability 5+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure Extensive experience with Linux troubleshooting and NFS Strong knowledge of Linux software RAID, ZFS, and other Linux filesystems Proficient in Python and shell scripting Strong cross-functional communication skills Ability to analyze and solve problems quickly in a fast-paced environment Exceptional time management skills and the ability to balance independent and collaborative workflows Eager to learn and apply new skills The estimated base salary range for this position is $150,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may 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.

Responsibilities

Design and manage a variety of storage solutions while researching and experimenting with new storage technologies. Troubleshoot complex storage, OS, and networking issues and build tools to enhance performance and monitoring of storage clusters.