Arista Networks

networking

SeniorHardwareSystemsEngineerAIRack&ClusterInfrastructure

$131–175k Santa Clara, California, United States FULL TIME
The Brief

“Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure at Arista Networks. Skills: AI Rack & Cluster Infrastructure, rack-scale design and deployment, hyperscale data centers, AI and cloud infrastructure integration, networking, power, cooling integration, high-density GPU environments, last-mile execution for hyperscale deployments, rack layouts and cabling systems design, cross-functional delivery management, deployment standards and technical documentation creation. Lead the desi”

What You'll Achieve.

deliver rack-scale solutions for the world’s largest AI and cloud deployments; ensuring Arista platforms integrate cleanly into large-scale AI and cloud clusters; ensuring performance, scalability, and serviceability; bring clusters from design to reality; NPI and volume deployment

Industry & Context.

networking
Problems you'll solve

Ability to assess and make design tradeoffs; troubleshooting

What They're Looking For.

Must Have

8+ years in rack integration, data center engineering, or hardware systems design, including hyperscale or large enterprise deployments, Deep expertise in structured cabling, high-density networking (Ethernet QSFP/OSFP, PCIe), and spine/leaf architectures, Proven experience with rack cooling (liquid interfaces, thermal optimization) and power systems (PDUs, busways), project leadership with NPI experience managing cross-functional deliverables, Proven ability to generate and manage cluster BOMs, rack elevations, and deployment standards under tight timelines, Ability to assess and make design tradeoffs, Excellent technical writing skills for data sheets, briefs, and documentation, troubleshooting and communication abilities, Excellent communication, internal and external stakeholder management, and collaboration skills

Nice to Have

Experience with Arista EOS, hyperscale deployments, or ORv3 rack standards, understanding of computer and cluster exposure to Arista EOS or cloud networking environments is a plus, CAD proficiency (SolidWorks/AutoCAD) and regulatory compliance knowledge, Experience working directly with hyperscalers or large-scale AI/ML cluster deployments, Experience building or specifying automation tools for BOM management, configuration generation, or deployment workflows, Proven ability to manage and work with remote vendors and integration partners, CAD proficiency (e. g. , SolidWorks, AutoCAD) and familiarity with global safety and regulatory requirements for rack systems, Experience with developing or driving standards or multi-source agreements

What You'll Do.

and deployment of next-generation rack architectures optimized for hyperscale data centers

Own rack-scale design and deployment of AI and cloud infrastructure—translating cluster architectures into production-ready rack solutions

into high-density GPU environments

Lead last-mile execution for hyperscale deployments —working directly with customers and internal teams to bring clusters from design to reality

Design and optimize rack layouts and cabling systems

including fiber/copper routing

and high-density interconnects

Drive cross-functional delivery across hardware

and software teams—from concept through NPI and volume deployment

Create deployment standards and technical documentation (rack elevations

solution briefs) used by operators and customers

How You'll Work.

Team & Collaboration

collaborate with hyperscale customers, strategic partners, and cross-functional teams, including hardware, software, thermal, and manufacturing engineers; working directly with customers and internal teams to bring clusters from design to reality; Drive cross-functional delivery across hardware, thermal, manufacturing, and software teams; internal and external stakeholder management; work with remote vendors and integration partners

Communication Scope

Excellent communication; troubleshooting and communication abilities

Process & Methodology

project leadership with NPI experience managing cross-functional deliverables, manage cluster BOMs, rack elevations, and deployment standards under tight timelines, manage and work with remote vendors and integration partners

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