HPC Network Engineer

Autonomai Recruitment; New York (NY); On-site; USD 500,000 - 800,000; Full time

Benefits offered by this job

Competitive compensation package

Global mobility opportunities

Professional development benefits

Job summary

Autonomai Recruitment is seeking an HPC Network Engineer in New York to design, deploy, and operate low-latency, high-throughput networks powering global trading systems.

You will apply expertise from GPU clusters, RDMA fabrics, and lossless Ethernet to build scalable leaf-spine architectures and observability-driven operations across data centers and colocation facilities.

Qualifications

• 8+ years designing, deploying, and operating large-scale distributed systems or data-intensive backend platforms at a hyperscaler or major tech company.
• Deep expertise in RDMA and lossless Ethernet architectures for GPU clusters and HPC workloads.
• Proven leaf-spine/Clos network designs at scale, including high-speed Ethernet switching platforms and smartNICs.
• Hands-on scripting/automation experience in Python, Go, or similar languages; familiarity with configuration management at scale.
• Experience with container platforms and microservices, including host-level and pod networking architectures.
• Excellent troubleshooting, communication, and stakeholder management skills.

Responsibilities

• Design and deploy large-scale, low-latency network architectures for trading, risk, and research workloads across global data centers and colocation facilities.
• Own RDMA-based GPU interconnect fabrics and lossless leaf-spine topologies optimized for high-performance computing workloads.
• Build and maintain L2/L3 network topologies (routing, multicast, overlay networks) at scale, drawing on experience from AI/ML and distributed systems infrastructure.
• Automate network provisioning, configuration management, and diagnostics using scripting and infrastructure-as-code practices.
• Monitor and optimize network performance using observability and packet analysis tools, with a focus on collective communications and congestion control.
• Partner with systems, platform, and trading teams to troubleshoot complex cross-layer performance issues in production environments.
• Lead vendor selection, capacity planning, and lifecycle management for switching platforms and high-speed optics.
• Support colocation builds, cross-connect provisioning, carrier diversity, and timing architectures for trading venues.
• Contribute to incident response, design reviews, and continuous improvement of observability and resilience across the infrastructure.

Skills

RDMA architectures

Lossless Ethernet

Leaf-spine networks

Python scripting

Go scripting

Container platforms

Microservices networking

Troubleshooting

Stakeholder management

Education

Bachelor's degree in Computer Science, Computer Engineering, or related technical field

Tools

Observability tools

Packet analysis tools

Infrastructure as Code tooling

Job description

We're looking for an HPC Network Engineer with experience at a leading hyperscaler or large-scale tech company to help design and operate the network infrastructure that powers global trading systems.

You’ll apply expertise from building massive GPU clusters, RDMA fabrics, and lossless Ethernet architectures to create some of the lowest-latency, highest-throughput networks in the industry.

This role is ideal for engineers from top-tier tech companies who want to bring their large-scale infrastructure skills into high-performance trading.

What You’ll Do

• Design and deploy large-scale, low-latency network architectures for trading, risk, and research workloads across global data centers and colocation facilities
• Own RDMA-based GPU interconnect fabrics and lossless leaf-spine topologies optimized for high-performance computing workloads
• Build and maintain L2/L3 network topologies (routing, multicast, overlay networks) at scale, drawing on experience from AI/ML and distributed systems infrastructure
• Automate network provisioning, configuration management, and diagnostics using scripting and infrastructure-as-code practices
• Monitor and optimize network performance using observability and packet analysis tools, with a focus on collective communications and congestion control
• Partner with systems, platform, and trading teams to troubleshoot complex cross-layer performance issues in production environments
• Lead vendor selection, capacity planning, and lifecycle management for switching platforms and high-speed optics
• Support colocation builds, cross-connect provisioning, carrier diversity, and timing architectures for trading venues
• Contribute to incident response, design reviews, and continuous improvement of observability and resilience across the infrastructure

What We’re Looking For

• 8+ years of experience designing, deploying, and operating large-scale distributed systems or data-intensive backend platforms at a hyperscaler or major tech company
• Deep expertise in RDMA and lossless Ethernet architectures for GPU clusters and HPC workloads
• Proven experience with leaf-spine/Clos network designs at scale, including high-speed Ethernet switching platforms and smartNICs
• Hands-on scripting/automation experience in Python, Go, or similar languages; familiarity with configuration management at scale
• Experience with container platforms and microservices, including host-level and pod networking architectures
• Excellent troubleshooting, communication, and stakeholder management skills
• Bachelor's degree in Computer Science, Computer Engineering, or related technical field (or equivalent practical experience)

Nice to Have

• Experience supporting large-scale AI/ML or HPC workloads
• Familiarity with streaming systems and high-throughput data pipeline architectures
• Experience with performance benchmarking and profiling tools for network and system performance
• Demonstrated influence across organizations (tech lead, architect, principal/IC leadership roles) in a hyperscaler environment

What We Offer

• Competitive compensation package (base + bonus) with total compensation up to $500K-$800K+ for top candidates
• Opportunity to apply hyperscaler-grade networking expertise to one of the world's most advanced trading and risk computing environments
• Collaborative, high-performance culture with direct impact on trading infrastructure and business outcomes
• Comprehensive benefits, professional development, and global mobility opportunities