Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

Who Youll Work With
As a Senior Rack Solution Engineer at Arista youll collaborate with hyperscale customers strategic partners and cross-functional teams including hardware software thermal and manufacturing engineers to deliver rack-scale solutions for the worlds largest AI and cloud deployments. You will lead both technical design and lastmile execution ensuring Arista platforms integrate cleanly into large-scale AI and cloud clusters.

What Youll 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 infrastructuretranslating 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 deploymentsworking 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 teamsfrom concept through NPI and volume deployment
• Create deployment standards and technical documentation (rack elevations BOMs runbooks solution briefs) used by operators and customers

Qualifications :

Minimum

• Bachelors 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

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time