Hudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the communications infrastructure that allows our large-scale (1000s of servers), heterogeneous distributed research environment to grow rapidly and operate optimally in support of our computing resources. The HPC network spans multiple large-scale data centers, and the team supports both the LAN and WAN infrastructure. We are looking for a Network Engineer with experience designing, deploying, and scaling networks for large HPC environments to meet the requirements of a premiere algorithmic trading firm.
This position requires both product leadership and vision on the future of cloud-scale networking, as well as deep technical skills. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone with a love for technology and who is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture.
Responsibilities
- Network design, product selection, routing, configuration and troubleshooting
- Closely work with our HPC Systems team, as well as other teams to scale our research environment
- Meet with external parties for project related items as well as future endeavors
- Overall capacity planning for the data center networks
- Develop scripts and processes to increase efficiency
- Collaborate with others in the network team to solve cross discipline problems
- Provide detailed documentation
- Mentor others as a senior resource
Qualifications
- BS or greater in Computer Science, Electrical Engineering, or related IT field and 10+ years of relevant experience
- Incredible attention to detail and excellent prioritization skills, able to plan and prioritize workloads to meet implementation schedules
- Self motivated, independent, eager to learn and apply new skills quickly
- Willingness and ability to solve technical problems in the field yourself
- You have excellent collaboration skills and a willingness to admit mistakes
Skills
- Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
- Able to create and maintain clear and effective technical documentation
- In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, spine-leaf architecture, and VXLAN) and best practices for them
- Experience in selecting and working with vendors to engineer switches for next-generation computing environments
- Experience managing Arista (EOS), Cisco (NX-OS), and SONiC-based switches, as well as an interest in exploring new platforms
- Experience in designing computing and grid networks, capacity planning, and full lifecycle project management
- Experience with packet decoding and analysis tools such as tcpdump and Wireshark
- Experience with public cloud networks, such as AWS, GCP, Azure
- Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
- Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
- Understanding of basic power consumption and cooling issues in a data center environment
- Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
- Experience with Unix/Linux command line utilities and networking stack
- Experience with AI style network designs and workloads is desirable
Annual base salary range of $200,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
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.
Top Skills
What We Do
Hudson River Trading 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.
Why Work With Us
At HRT we are mathematicians, computer scientists, statisticians, physicists and engineers. We believe that by cultivating an environment that encourages idea sharing and collaboration, we develop our best strategies. We boast a flat management structure as all our people are motivated by being at the forefront of the automated trading world.
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Hudson River Trading Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Teams have a range of in-office needs: some require 24/7 coverage or hands-on maintenance, while others operate across time zones. While the majority of teams adopt a fairly even split between in-office and remote work, many come in every day.
