Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

Reposted 4 Days Ago
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Santa Clara, CA, USA
In-Office
131K-175K Annually
Senior level
Cloud • Software • Analytics
The Role
As a Senior Hardware Systems Engineer, you will lead AI rack and cluster infrastructure designs, manage deployments, and collaborate with cross-functional teams to optimize data center solutions.
Summary Generated by Built In
Company Description

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.

Job Description

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

Qualifications

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

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.

Skills Required

  • Bachelor's degree in Electrical, Mechanical Engineering, or Computer Engineering
  • 8+ years in rack integration, data center engineering, or hardware systems design
  • Deep expertise in structured cabling, high-density networking, and spine/leaf architectures
  • Proven experience with rack cooling and power systems
  • Strong project leadership with NPI experience managing cross-functional deliverables
  • Excellent technical writing skills for data sheets and documentation

Arista Networks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arista Networks and has not been reviewed or approved by Arista Networks.

  • Leave & Time Off Breadth Time away is positioned as generous, including unlimited PTO, paid holidays, and flexible hours with hybrid options. Parental leave is also included, supporting time off needs beyond standard vacation.
  • Equity Value & Accessibility Equity participation is a notable component of rewards through RSUs and an employee stock purchase plan with a discount. This structure can materially increase total compensation when stock performance is favorable.
  • Wellbeing & Lifestyle Benefits Everyday perks and wellness supports are broad, including on-site gym/showers, secured bike storage, stocked break rooms, discounted lunches, wellness webinars, and social events. Family-planning benefits add to lifestyle and wellbeing coverage.

Arista Networks Insights

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The Company
HQ: Santa Clara, CA
2,867 Employees
Year Founded: 2004

What We Do

Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista’s award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.

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