High Performance Compute (HPC) Storage Engineer

wehrtyou· Research & Development Platform
Apply Now ↗

About this role

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.

Frequently Asked Questions

Is the salary disclosed for the High Performance Compute (HPC) Storage Engineer position at wehrtyou?
The salary for this High Performance Compute (HPC) Storage Engineer role at wehrtyou is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the High Performance Compute (HPC) Storage Engineer position at wehrtyou located?
This High Performance Compute (HPC) Storage Engineer role at wehrtyou is based in Austin, TX, United States; Chicago, Illinois, United States; London, United Kingdom; New York, NY, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the High Performance Compute (HPC) Storage Engineer at wehrtyou belong to?
This High Performance Compute (HPC) Storage Engineer position is part of the Research & Development Platform department at wehrtyou. See the full job description for more information about the team structure and responsibilities.
How do I apply for the High Performance Compute (HPC) Storage Engineer position at wehrtyou?
Click the "Apply Now" button on this page. You will be redirected to wehrtyou's official application portal hosted on greenhouse where you can submit your application directly.
When was the High Performance Compute (HPC) Storage Engineer job at wehrtyou posted?
This High Performance Compute (HPC) Storage Engineer position at wehrtyou was posted on Oct 23, 2025. Apply as soon as possible — early applications are often reviewed first.
High Performance Compute (HPC) Storage Engineer
wehrtyou
Apply for this role ↗

You'll be redirected to wehrtyou's official application page on Greenhouse.