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Hudson River Trading logo

Data Center Engineer

Hudson River Trading·, Norway
Full-timerotating
Posted today

Application completed on Hudson River Trading

About This Role

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We build and operate one of the world’s most sophisticated computing environments for research and development, and our engineers work on challenging problems across hardware, systems, networking, AI/ML and software.

Hudson River Trading (HRT) is seeking a Data Center Engineer to join our Compute team. Our engineers build and operate the global computing infrastructure that supports HRT’s research and automated trading environment around the clock.

In this hands-on role, you will help deploy, operate, and improve high-density compute, storage, and network infrastructure in a regional colocation environment. You will combine Linux and networking fundamentals with a meticulous approach to hardware, cabling, automation, and operational excellence. This is an opportunity to work on complex infrastructure problems, collaborate with distributed engineering teams, and make a direct impact on the reliability and performance of a sophisticated research computing environment.

Responsibilities

Design and execute deployment plans for new servers, storage, and network hardware, with attention to power, cooling, cabling, rack layout, and network topology

Install, configure, test, and troubleshoot enterprise-grade server, storage, and networking equipment

Develop and maintain automation for inventory management, configuration deployment, health checks, and recurring operational workflows using Python, Bash, or similar tools

Diagnose system performance and stability issues using command-line tools, including log analysis, process tracing, and IPMI/SEL event review

Troubleshoot connectivity and performance issues across network layers 1–3, including high-speed copper and fiber interconnects, switching, routing, and physical-layer faults

Build, test, document, and maintain structured cabling for high-density copper and single- and multi-mode fiber environments

Support the evaluation, deployment, and ongoing operation of GPU and other accelerated-computing systems; investigate hardware failures and coordinate repair or replacement as needed

Maintain accurate asset, inventory, and DCIM records; coordinate equipment logistics, vendor engagement, RMAs, and spare-parts readiness

Uphold and improve standards for physical security, configuration management, safety, documentation, and audit readiness

Participate in an on-call rotation and respond effectively to infrastructure incidents

Qualifications

3+ years of hands-on experience in a high-density, mission-critical data center, colocation, cloud, HPC, research, or similarly demanding environment

Exposure to Linux/Unix systems-administration and comfort working from the command line

Hands-on experience installing, configuring, testing, and troubleshooting server hardware, including CPUs, memory, storage, power supplies, and network interfaces

Strong knowledge of networking fundamentals across layers 1–3, with the ability to isolate complex connectivity, signal, and latency issues

Experience designing, installing, certifying, and troubleshooting high-speed copper and fiber-optic cabling

Familiarity with DCIM tools, asset management, inventory processes, and data center operational practices

Strong problem-solving ability, attention to detail, and clear written and verbal communication

Ability to work independently while collaborating closely with global teams and external vendors

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience

Preferred experience deploying, operating, or troubleshooting GPU servers and accelerated-computing platforms, including structured failure analysis and hardware diagnostics

Preferred experience with high-density cooling systems, including direct-to-chip (DTC) or direct liquid cooling (DLC)

Preferred familiarity with HPC, high-performance storage, or large-scale compute-cluster environments

Preferred experience writing scripts or automation using Python, Bash, Shell, or similar languages

Preferred familiarity with network hardware, optics, and high-speed interconnect technologies

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.

Required Skills

LinuxNetworkingPythonBashHardware troubleshootingData center infrastructureStructured cablingFiber opticsDCIMInventory managementServer hardwareStorage systemsAutomationIPMIHigh-density computeAccelerated computing

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Location
, Norway
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Category
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