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.

About the company

Hudson River Trading buys and sells financial products through automated models, supplying liquidity that lets other market participants trade on exchanges and directly with the firm. Its business spans equities, futures, options, currencies, and fixed income, with research rooted in mathematics and computer science. Researchers develop and test trading strategies against market data, while engineers build the computing systems that run those strategies and manage their risks. The firm earns income from its trading activity across these markets, with teams combining quantitative research and trade execution. Hudson River Trading was founded in 2002 and is headquartered in New York City.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$630M

Headquarters

New York City, New York

Founded

2002

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Simplify's Take

What believers are saying

Researchers gain planned compute capacity: HRT announced an August 2026 CoreWeave agreement covering NVIDIA Vera Rubin and Blackwell systems.
Employees avoid medical premiums: HRT says it pays medical and dental coverage across its global offices.
Investments deepen trading relationships: HRT Ventures supplies growth capital and stands ready to provide liquidity for portfolio companies.

What critics are saying

Compute obligations are substantial: HRT's August 2026 CoreWeave agreement spans multiple years and billions of dollars.
Schedules depend on your team: HRT says some teams require round-the-clock coverage or hands-on maintenance.
Research gains are difficult to prove: HRT's AI researcher describes biased backtests and small differences in noisy trading data.

What makes Hudson River Trading unique

HRT owns its research storage stack: its Blobby filesystem addresses workloads measured in hundreds of petabytes.
Researchers share technical foundations: HRT describes a common technology platform supporting its open research environment.
Hardware work reaches chip design: HRT's graduate engineers build programmable chips and custom circuits with nanosecond precision.

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Benefits

Dental, Vision, Disability, Health, Life, and Supplemental Life Insurance
Flexible Spending Account
Health Savings Account
401(k)
Paid Time Off
Free lunch or snacks
Gym membership

Company News

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Positron AI has raised $875 million at a $5 billion valuation to fund its next-generation AI inference hardware. The Series C round was co-led by NEA, Atreides Management, Valor Equity Partners, Andra Capital, SemiAnalysis Capital, and Silicon Graphics founder Jim Clark. The company builds memory-first inference systems designed to run AI models more efficiently than traditional approaches. Positron is deploying over 50 racks of its first-generation Atlas system at Oracle Cloud Infrastructure, with customers including Jump Trading and i3d.net. The funding will support the tapeout of Asimov, Positron's next chip on TSMC's N3P process, scheduled for late 2026 with production in second-half 2027. It will also fund production of Titan, its next-generation system combining multiple Asimov chips. The architecture uses commodity LPDDR5X memory rather than constrained HBM supply chains.

Logos Press

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25-year-old British entrepreneur becomes Europe's youngest self-made billionaire with $3B AI chip startup

James Dacombe, a 25-year-old British entrepreneur, has become Europe's youngest self-made billionaire after his AI chip company Olix raised funding at a valuation exceeding $3 billion. This nearly tripled the company's $1 billion valuation from February, when it secured $220 million. Dacombe, who began programming at 13 without formal training, left school as a teenager with support from the Thiel Fellowship. He founded CoMind in 2017-2018, developing non-invasive brain monitoring technology. The startup raised $60 million in 2025, bringing total funding to $102.5 million. Launched in 2024, Olix develops specialised chips for AI inference. Investors include Arm, Netflix co-founder Reed Hastings, and the British Sovereign AI Fund. Commercial chip shipments are expected by late 2027.

Hudson River Trading

Storage Engineer - HPC

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