FluidStack
Network Engineer, Design & Engineering
About this role
Design and engineer large-scale network infrastructure for AI training clusters at Fluidstack, a company building civilization-scale compute capacity. You'll own the complete network design lifecycle from customer requirements through deployment, creating lossless Ethernet fabrics and architectures for 100k+ accelerator clusters.
What you'll do
- Design end-to-end network architectures for AI training and inference workloads across multiple GPU platforms
- Create topology designs, IP addressing schemes, routing policies, and fabric configurations for front-end, back-end, and storage networks
- Develop lossless RDMA (RoCEv2) fabrics with PFC, ECN, and congestion management tuning
- Translate logical designs into physical reality including rack layouts, cabling, power constraints, and airflow considerations
- Produce high-level and low-level design documents, BOMs, cabling matrices, and lead design reviews
- Collaborate across hardware, operations, software, and validation teams to ensure designs are buildable and operationally sound
What they're looking for
- Data center network fabric design and deployment experience
- Deep expertise in CLOS/fat-tree topologies, BGP, EVPN/VXLAN
- Lossless RDMA and RoCEv2 fabric design with congestion management
- First-principles problem-solving and novel architecture reasoning
- L1-L3 networking fundamentals and tradeoff analysis
- Multi-vendor GPU platform integration
- Large-scale cluster architecture (100k+ accelerators preferred)
- Source-of-truth-driven design generation and automation
Benefits
- Competitive salary and equity compensation
- Retirement or pension plan aligned with local standards
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FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Walk us through a data center network fabric you designed end-to-end, from requirements to deployment. What were the key tradeoffs you made and why?
- How would you design a lossless RDMA fabric for a 100k+ accelerator GPU cluster, and what congestion management strategies would you implement?