Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

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.

What You’ll Do
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
Base pay range: $131- $175k flexible (depending on experience and location). Includes equity, bonuses, and comprehensive benefits. The actual salary offered will be based on a wide range of factors, including skills, qualifications, relevant experience, and US location. The salary range provided reflects the base salary and in addition may also be eligible for discretionary Arista bonuses, commissions, equity, and benefits including medical, dental, vision, wellbeing, tax savings and income protection. The recruiting team can share more details during the hiring process specific to the role and location

#LI-TH1

Arista Networks is an equal opportunity employer.  Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law.  All your information will be kept confidential according to EEO guidelines.