High Performance Compute (HPC) Storage Engineer

Hudson River Trading
Austin +3 more
Hybrid

Who this role is best for

Best suited to candidates with hands-on experience in large-scale HPC storage solutions and a background in collaborative, research-driven environments working in financial technology and algorithmic trading.

Best fit for

  • Candidates with hands-on experience in managing exabyte-scale storage systems and a background in AI/ML-based trading environments
    — “manages exabyte-scale storage to facilitate industry-leading AI/ML-based trading”
  • Individuals who thrive in small, high-impact teams with open and collaborative structures
    — “small team focused on HPC storage and help set the direction for storage solutions”
  • Professionals with a track record of designing and automating storage solutions for high-performance computing
    — “design, automation, and management of future storage solutions”

Things to consider

  • Must avoid using AI tools during interviews or assessments, as it is strictly prohibited
    — “Use of AI tools by an applicant during interviews or assessments is strictly prohibited”
  • Candidates must be prepared to work across multiple global locations, including Norway and London
    — “offices all over the globe”

How to stand out

  • Highlight experience with scale-out storage solutions like Isilon or NetApp on your resume
    — “scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure”
  • Emphasize your ability to troubleshoot complex storage and OS issues in high-performance environments
    — “Troubleshoot complex storage, OS, and networking issues”
  • Showcase your Python and shell scripting skills as they are used to build performance tools
    — “Proficient in Python and shell scripting”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design, deploy, and manage storage solutions
  • troubleshoot complex storage, OS, and networking issues
  • build tools to improve performance and monitoring of storage clusters
  • research and experiment with new storage solutions
Typical background
3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB

Skills & requirements

Required

HPC StorageDistributed File SystemsLarge-scale Storage DeploymentsLinux TroubleshootingNFSLinux FilesystemsPythonShell ScriptingProblem-solvingTime Management

Preferred

ZFSIsilonVASTNetappPure

Stack & domain

Distributed File SystemsNAS Storage SolutionLinux TroubleshootingNFSLinux FilesystemsPythonShell ScriptingCommunicationProblem-solvingTime ManagementStorageHPCAi/ml

About the role

Original posting from Hudson River Trading

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 exabyte-scale 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 by an applicant 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 by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

Source: Hudson River Trading careers

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