FluidStack

1 month ago

Network Engineer, Design & Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design-owned network engineering role focused on end-to-end datacenter architectures for AI training/inference, collaborating across Hardware, DC Operations, ICT cabling, Software Engineering, and Validation to ensure scalable, buildable designs.

Location: New York, San Francisco, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•End-to-end network design: Own the design lifecycle from requirements through deployable architecture, including topology, IP addressing, routing policy, and fabric configuration for AI training and inference fabrics.
•Cross-functional collaboration: Partner with Hardware, DC Operations, ICT cabling, Software Engineering, and Validation to ensure designs are technically sound and buildable.
•Design documentation: Produce High-Level Designs (HLDs), Low-Level Designs (LLDs), BOMs, cabling matrices, and design decision records to hand over to deployment teams.
•Physical infrastructure integration: Translate logical designs into rack layout, power planning, cabling feasibility, and cooling considerations.
•RDMA & AI fabric focus: Design lossless Ethernet fabrics for RDMA workloads and understand impact on distributed AI training performance.

Pay and Benefits

Salary: USD 180,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•5+ years of network engineering experience with a demonstrated focus on network design and architecture.
•Deep L1–L3 expertise in datacenter networking including CLOS/fat-tree topologies, BGP, EVPN/VXLAN, IP addressing at scale, and physical layer design.
•Working knowledge of RDMA network design (InfiniBand and/or RoCEv2), lossless Ethernet configuration (PFC, ECN, DCQCN).
•Experience designing networks around GPU platforms (NVIDIA DGX/HGX, AMD MI-series, or other accelerators).
•Ability to reason through rack layout, power budgets, structured cabling, and equipment placement with a physical-behind-the-design approach.

Experience:5+ yearsDatacenterAI infrastructureNetwork design

Skills:Communication

Languages:English

Tech Stack:BGPEVPNVXLANRoCEv2InfiniBandPFCECNNVLinkNVSwitchCLOSFat-treeOpticsFiberRack design

Company Brief

FluidStack

Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor

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FluidStack

1 month ago

Network Engineer, Design & Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: New York, San Francisco, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•End-to-end network design: Own the design lifecycle from requirements through deployable architecture, including topology, IP addressing, routing policy, and fabric configuration for AI training and inference fabrics.
•Cross-functional collaboration: Partner with Hardware, DC Operations, ICT cabling, Software Engineering, and Validation to ensure designs are technically sound and buildable.
•Design documentation: Produce High-Level Designs (HLDs), Low-Level Designs (LLDs), BOMs, cabling matrices, and design decision records to hand over to deployment teams.
•Physical infrastructure integration: Translate logical designs into rack layout, power planning, cabling feasibility, and cooling considerations.
•RDMA & AI fabric focus: Design lossless Ethernet fabrics for RDMA workloads and understand impact on distributed AI training performance.

Pay and Benefits

Salary: USD 180,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•5+ years of network engineering experience with a demonstrated focus on network design and architecture.
•Deep L1–L3 expertise in datacenter networking including CLOS/fat-tree topologies, BGP, EVPN/VXLAN, IP addressing at scale, and physical layer design.
•Working knowledge of RDMA network design (InfiniBand and/or RoCEv2), lossless Ethernet configuration (PFC, ECN, DCQCN).
•Experience designing networks around GPU platforms (NVIDIA DGX/HGX, AMD MI-series, or other accelerators).
•Ability to reason through rack layout, power budgets, structured cabling, and equipment placement with a physical-behind-the-design approach.

Experience:5+ yearsDatacenterAI infrastructureNetwork design

Skills:Communication

Languages:English

Tech Stack:BGPEVPNVXLANRoCEv2InfiniBandPFCECNNVLinkNVSwitchCLOSFat-treeOpticsFiberRack design

Company Brief

FluidStack

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor