Network Engineer, Design & Engineering

FluidStack Inc.

Job Overview

Location

New York, NY

Job Type

Full-time

Full Job Description

📋 Description

• We exist to make humanity more free by building frontier compute infrastructure for AI, rethinking every layer of the stack, and acquiring power, designing and building data centers, and operating them.
• We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, with teams spanning hardware and software.
• Speed and scale are our key differentiators.
• We hire people who care deeply about this problem space.
• We operate with extreme ownership, velocity, first principles, and a love of the game.
• The Infrastructure Team is working on key problems such as designing fabrics for AI training, multiple fabrics, one system, and generating design from a source-of-truth model.
• As a Network Engineer, Design & Engineering, you will own the network design lifecycle from customer requirements to deployable, validated architectures for AI training and inference.
• You will produce topology designs, IP/addressing schemes, routing policy, and fabric configuration specs across front-end, back-end, and storage networks.
• You will adapt architectures to different GPU platforms, form factors, and workload profiles, each with its own rack layout, power envelope, and cabling approach.
• You will design lossless Ethernet fabrics for RDMA (RoCEv2): PFC, ECN tuning, traffic classes, and congestion management, reasoning about ECMP and collective-communication patterns in distributed training.
• You will produce HLDs, LLDs, cutsheets, BOMs, cabling matrices, and design decision records, and lead design reviews and reusable reference architectures.

🎯 Requirements

• You've designed data center network fabrics from requirements through deployment, not just configured them, and can explain the tradeoffs behind every decision.
• You have deep L1 to L3 expertise: CLOS/fat-tree topologies, BGP, EVPN/VXLAN, and the fundamentals underneath them.
• You design lossless RDMA (RoCEv2) fabrics and understand congestion management at training scale.
• You reason from first principles through novel design challenges rather than pattern-matching to one reference architecture.
• You partner across Hardware, DC Operations, ICT, Software, and Validation so designs are buildable and operationally sound.
• Bonus: Source-of-truth-driven design generation. Multi-vendor GPU platform integration. Large-cluster (100k+ accelerator) experience.

🏖️ Benefits

• Competitive total compensation package (salary + equity).
• Retirement or pension plan, in line with local norms.
• Health, dental, and vision insurance.
• Generous PTO policy, in line with local norms.

Skills & Technologies

Fiber

Onsite

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

FluidStack Inc.

Visit Website

About FluidStack Inc.

FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.