HPC/GPU Data Center Network Engineer

Designworks Talent LLC

. Design, build, automate, and operate data center networking for large-scale GPU clusters, AI workloads, and multi-tenant cloud services .

Posted 11/10/2026full-timeBellevue • Washington • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating large-scale data center networks, focusing on multi-tenant networking, security architecture, and automation for AI workloads. Proficient in collaborating with cross-functional teams to optimize networking solutions for performance and scalability in cloud environments.

Highest-signal resume keywords

Large-Scale Data Center NetworkingMulti-Tenant NetworkingInfrastructure As CodeNetwork AutomationVendor Experience (Arista, Juniper, HPE)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Network Security ArchitectureScalable Networking SolutionsAutomated Networking SolutionsTenant IsolationNetwork SegmentationBGPEVPN/VXLANSpine-Leaf ArchitecturesInfiniBandRoCE

Soft Skills

Independent OperationCollaboration

Tools & Technologies

HPCAI InfrastructureCloud ServicesNetwork ObservabilityTelemetry

Industry Keywords

Hyperscale CloudAI WorkloadsDistributed Compute EnvironmentsSoftware-Defined Networking

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Design, build, automate, and operate data center networking for large-scale GPU clusters, AI workloads, and multi-tenant cloud services
Develop secure tenant isolation architectures for performance, scalability, and security across customer environments
Design resilient and highly available network architectures across compute, storage, and infrastructure services
Work across multiple networking platforms and vendors, including Arista, Juniper, HPE, and other enterprise providers
Partner with hardware, infrastructure, virtualization, and platform engineering teams to optimize networking for AI training and inference workloads
Build infrastructure automation for deployment, configuration management, monitoring, and operational excellence
Define networking standards, architecture documentation, and engineering best practices
Evaluate emerging networking technologies and shape the long-term AI networking platform strategy

Requirements

What you’ll need

Significant experience designing, deploying, and operating large-scale data center networks in hyperscale cloud, AI infrastructure, HPC, or enterprise environments
Deep expertise across multiple enterprise networking platforms
Demonstrated experience supporting at least two major vendors such as Arista, Juniper, HPE, Cisco, or equivalent technologies
Strong understanding of multi-tenant networking, segmentation, tenant isolation, and network security architecture
Experience designing highly available, scalable, and automated networking solutions for mission-critical production environments
Experience with Infrastructure as Code, network automation, or programmable networking
Ability to operate independently in a fast-paced, early-stage environment
Preferred: experience supporting GPU clusters, AI infrastructure, HPC, or large-scale distributed compute environments
Preferred: experience with InfiniBand, RoCE, RDMA, or equivalent fabrics
Preferred: experience building networking platforms for hyperscale cloud providers, AI infrastructure companies, or cloud-native platforms
Preferred: familiarity with EVPN/VXLAN, Spine-Leaf architectures, BGP, Clos networking, and software-defined networking
Preferred: experience with network observability, telemetry, and automation frameworks
U.S. work authorization is required
Must agree to work in a hybrid arrangement based in downtown Bellevue, WA, with a minimum of three days per week in-office once the permanent office is established

Benefits

Comp & perks

Certain roles are eligible for merit increases, annual bonus, and long term incentives, allocated based on individual performance
Medical, dental, and vision insurance for U.S.-based employees
401(k) plan and company match
Paid holidays per calendar year
Hybrid work arrangement
Technical ownership and autonomy
Opportunity to work on cutting-edge GPU infrastructure and AI workloads
Collaboration with exceptional engineers
Startup environment backed by substantial long-term investment