Job Details:
Network Engineer- Entry level -to junior level- HPC/AI- Layer 1-3 - Relocation is available
I am working directly with the VP of network infrastructure at a global trading leader. They are looking for multiple entry-level/junior network engineers. They will consider Home lab, school, and internship experience.
As a Network Engineer on the Network Services team, you will gain exposure to one of the largest and most complex low-latency network topologies in the industry. We own the monitoring, maintenance, and global support of enterprise network infrastructure — powering everything from ultra-low-latency trading to large-scale AI/ML training clusters and high-performance computing (HPC) environments. Our mission is to continually evolve the network while making heavy investments in automation, AI/ML-driven operations, and next-generation HPC fabrics. Joining Network Services is the first step in building a high-impact engineering career. In addition to troubleshooting complex issues across our global environment, you will be expected to identify and implement innovative solutions — many of which leverage AI/ML techniques for anomaly detection, predictive capacity planning, and automated root-cause analysis. You will actively contribute to network design discussions, participate in solution deployments, and help shape the future of our AI-augmented network monitoring, configuration management, and orchestration platforms. Exposure to a variety of tech We operate a diverse, cutting-edge technology stack to keep our network at peak performance. You will gain hands-on experience with WAN, LAN, Enterprise and Carrier Networking, as well as AI/ML-powered network intelligence tools, high-speed HPC interconnects (InfiniBand, RoCE, Ethernet fabrics), and large-scale data-center networking that supports our GPU clusters and quantitative research platforms. Through structured team rotations you will partner directly with senior engineers and technical leads on a wide range of projects. You’ll begin with core operational tasks and quickly progress to developing and deploying company-wide solutions — including AI-driven traffic optimization, ML-based forecasting models for network health, and high-performance fabric upgrades.We collaborateOur team works closely with fellow technologists, business stakeholders, and specialized groups across the firm. Understanding real-time demands from trading desks, AI research teams, and HPC workloads is critical. You will coordinate configuration changes, perform root-cause analysis with AI-assisted tooling, recommend network optimizations, and contribute to firm-wide initiatives such as new hardware rollouts, AI/ML platform networking, and next-gen HPC cluster builds.Hands-on Learning. You learn by doing — with guidance and mentoring from day one. You’ll spend time in our labs testing new configurations, validating AI/ML models for network telemetry, and simulating HPC workloads before production deployment. Rotations with Networking Engineers are complemented by opportunities to collaborate with our Security, Windows, Linux, Virtualization, Storage, DevOps, AI/ML Infrastructure, and HPC teams, giving you broad exposure across the full technology stack.What we’re looking for
BS or MS in Computer Science, Networking, Engineering, or a closely related technical major
We are actively considering recent graduates and May 2026 graduates
Experience (or strong academic/project background) in LAN network support and troubleshooting OSI Layer 1-3 issues — network switching experience is a plus
Demonstrated knowledge of network hardware, local area networks, internet protocols, fiber/copper standards, Ethernet, and wireless technologies
Scripting and DevOps experience (Python, Ansible, Git, Terraform, etc.) is highly preferred
Interest or exposure to AI/ML applications in networking or HPC environments is a strong plus
Relocation assistance is available for this role. This is a rare opportunity to launch your career at the intersection of world-class networking, AI/ML, and high-performance computing in a firm that moves at the speed of the markets. If you’re excited to build and optimize the infrastructure that powers cutting-edge trading and research, we want to hear from you.
If interested, please send your resume to [email protected]
Kevin Mccarthy Liberty Personnel
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