Job description

Hudson River Trading (HRT) is seeking an Ultra-Low Latency Network Architect to build, test, and optimize our global high-frequency trading infrastructure. In this role, you will lead hardware evaluation and lab benchmarking while leveraging Python and data analysis techniques to analyze high-volume PCAP captures, telemetry streams, and tick-to-trade latency distributions. You will bridge low-level network engineering with performance engineering teams to reduce jitter and push network performance into the single nanosecond domain. Responsibilities Hardware Evaluation & Lab Testing: Establish and run a dedicated network testing lab. Design automated benchmark frameworks using traffic generators (Spirent/Ixia) to simulate, measure and validate various protocols at a network level and to stress-test SmartNICs, switches, FPGAs, and transceivers Network Data Analysis & Telemetry Pipeline: Build custom Python pipelines to process, analyze, and visualize high-volume packet captures (PCAPs), queue depth metrics, and telemetry data from FPGA/Corvil appliances to pinpoint anomalies. Write tools to automate lab testing procedures, parse binary network logs, and generate latency-distribution reports (e.g., 99.99th percentile jitter analysis) HFT Architecture & Co-location: Architect and maintain low latency trading networks across global exchange colocation sites. Optimize trading network signals over wireless low-latency backhaul networks Kernel Bypass & Acceleration: Familiarity with kernel-bypass stacks (AMD/Solarflare Onload/DPDK), hardware accelerator cards and layer-1/2 FPGA switches to minimize execution overhead. Collaborate with hardware engineering teams to benchmark performance for embedded network components such as network adapters and/or network co-processors Time Synchronization: Oversee PTP (IEEE 1588v2) and White Rabbit time synchronisation systems Routing and Switching: Design and maintain large-scale L2/L3 architectures specifically fine-tuning BGP, OSPF and PIM-SSM/IGMP multicast trees for sub-microsecond convergence and resilient market data delivery Maintain Industry Awareness: Stay current with emerging low-latency networking technologies, including new SmartNICs, FPGA acceleration, and high-speed transceivers. Evaluate and recommend new hardware and software solutions to improve network performance Qualifications 10+ years designing and operating ultra-low latency networks within HFT, market making, or quantitative fund environments. Knowledge of exchange colocation, market data feeds, and order routing protocols (FIX, OUCH, ITCH) is essential Advanced Python skills using libraries like pandas, numpy, or pyarrow to parse large PCAP datasets, analyze time-series telemetry, and calculate microsecond/nanosecond statistics Hands-on experience building network testing labs, using hardware traffic generators (Spirent/Ixia) and packet capture tools Expertise with Arista (7130 series), Cisco (Nexus 3550/3548), LDA L1 switches, AMD Solarflare, and NVIDIA Mellanox hardware. Familiarity with FPGA driven low latency applications or custom accelerator cards in the context of high performance trading environments Deep knowledge of BGP/OSPF, Linux network stack tuning, PTP (IEEE 1588), White Rabbit, PIM-SSM multicast, and large scale L2/L3 topologies. Awareness and experience with AI inference networks is a plus but not required Proficiency with Ansible, SQL and Python network automation tools (e.g., Scapy, Netmiko, or AsyncIO) for config generation and orchestration. Experience with observability stacks such as Victoriametrics, Prometheus, Grafana, and Docker The estimated base salary range for this position is 200,000 to 300,000 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.

Requirements

Must-haves

HFT Architecture & Co-location: Architect and maintain low latency trading networks across global exchange colocation sites. Optimize trading network signals over wireless low-latency backhaul networks
Time Synchronization: Oversee PTP (IEEE 1588v2) and White Rabbit time synchronisation systems
Routing and Switching: Design and maintain large-scale L2/L3 architectures specifically fine-tuning BGP, OSPF and PIM-SSM/IGMP multicast trees for sub-microsecond convergence and resilient market data delivery
Advanced Python skills using libraries like pandas, numpy, or pyarrow to parse large PCAP datasets, analyze time-series telemetry, and calculate microsecond/nanosecond statistics
Hands-on experience building network testing labs, using hardware traffic generators (Spirent/Ixia) and packet capture tools
You can review our Global Applicant Privacy Notice , which explains how we process applicant information.

Nice-to-haves

Deep knowledge of BGP/OSPF, Linux network stack tuning, PTP (IEEE 1588), White Rabbit, PIM-SSM multicast, and large scale L2/L3 topologies. Awareness and experience with AI inference networks is a plus but not required

Application prep

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Keywords to mirror

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