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Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Arista Networks
Full Time position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 131000 - 175000 USD Yearly USD 131000.00 175000.00 YEAR
Job Description & How to Apply Below

Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

Full-time

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

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…

Position Requirements
10+ Years work experience
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