Senior Hardware Systems Engineer – AI Rack & Cluster Infrastructure

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

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