Senior Hardware Systems Engineer - AI Rack & Cluster Infrastructure

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
• 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
• Preferred
• 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
• Compensation Information
• #LI-TH1

Benefits

Additional Information

Who You'll Work With 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.

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Company Intel

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