Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

Arista Networks•Santa Clara, CA

1d•$131 - $175

About The Position

As a Senior Rack Solution Engineer at Arista, you’ll collaborate with hyperscale customers, strategic partners, and cross-functional teams, including hardware, software, thermal, and manufacturing engineers, to deliver rack-scale solutions for the world’s largest AI and cloud deployments. You will lead both technical design and last‑mile execution, ensuring Arista platforms integrate cleanly into large-scale AI and cloud clusters.

Requirements

Minimum Bachelor’s degree in Electrical, Mechanical Engineering, or Computer Engineering, or related field (or equivalent practical experience)
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)
Strong 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, plus troubleshooting and communication abilities
Excellent communication, internal and external stakeholder management, and collaboration skills

Nice To Haves

Experience with Arista EOS, hyperscale deployments, or ORv3 rack standards
Strong understanding of computer and cluster networks; 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

Responsibilities

Lead the design, validation, 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
Integrate networking, power, cooling, into high-density GPU environments, ensuring performance, scalability, and serviceability
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, patch panels, and high-density interconnects
Drive cross-functional delivery across hardware, thermal, manufacturing, and software teams—from concept through NPI and volume deployment
Create deployment standards and technical documentation (rack elevations, BOMs, runbooks, solution briefs) used by operators and customers