Network Engineering M

Hudson River Trading's High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT's demanding computational workloads.

We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.
This position requires deep technical skills, along with the product leadership and vision needed for the future of cloud-scale networking. You'll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. 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. Network design, product selection, routing, configuration and troubleshooting
Meet with external parties for project related items as well as future endeavors
Overall capacity planning for the data center networks
Collaborate with others in the network team to solve cross discipline problems
Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail

• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
• In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them

Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
Strong design skills in computing and grid networks, with expertise in 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. Skilled in Unix/Linux command line utilities and networking stack
Experience with AI style network designs and workloads is preferred

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Hudson River Trading (HRT) brings a scientific approach to trading financial products. 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.
Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. 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.