High Performance Compute (HPC) Storage Engineer

The Research and Development (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 Storage team within R&D manages hundreds of 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 freedom to research,
• propose, and test new hardware and software to improve the performance and
• usability of our research environment.

Responsibilities

• * Design, deploy and manage a variety of storage solutions
• * Troubleshoot complex storage, OS, and networking issues
• * Build tools to improve the performance and monitoring of storage clusters
• * Research and experiment with new storage solutions

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
• * 3+ 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, 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 USD per
• year (or local equivalent). The base pay offered may vary depending on multiple
• individualized factors, including location, job-related knowledge, skills, and
• experience. This role will also be eligible for discretionary performance-based
• bonuses and a competitive benefits package.
• 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.
• Please be advised: Use of AI tools during interviews or assessments is strictly
• prohibited, unless otherwise instructed or agreed upon. We employ various
• methods to evaluate the authenticity of candidate responses. If we determine
• that AI assistance was used during any stage of the hiring process, we reserve
• the right to immediately disqualify your candidacy or rescind any job offers
• extended.