Integration Engineering

Rack Level Integration Engineer
Full Time
The ideal candidate will possess strong hands-on experience with rack-level integration, AI compute rack architectures, hardware/software validation, and high-performance infrastructure environments. This role requires expertise in integrating servers, accelerators, networking switches, optical interconnects, power systems, and cooling solutions into highly optimized rack-scale platforms.
Integrate and validate all hardware and software elements within AI compute rack environments.
Ensure compatibility, connectivity, stability, and optimal rack-level performance across integrated systems.
Execute hands-on rack assembly, racking, stacking, and high-touch integration procedures.
Configure and validate networking switches, servers, accelerators, smart PDUs, cooling systems, and power shelves.
Support rack-level management functions including monitoring, automation, and system control capabilities.
Testing, Qualification & Performance Optimization
Ensure rack systems meet stringent performance, reliability, efficiency, and scalability benchmarks.
Conduct validation testing and performance analysis across integrated AI compute environments.
Collaborate with hardware engineers, design teams, program managers, vendors, and customers.
Maintain comprehensive documentation for rack integration activities, testing, and configurations.
Support technical problem-solving across multidisciplinary engineering teams.
Hardware & Software Integration
Rack Management Functions
Rack Assembly / Racking & Stacking
Performance Testing & Benchmarking
Mechanical & Thermal CAD Tools
Troubleshooting & Root Cause Analysis
Cross-Functional Engineering Collaboration
Bachelor's Degree in:
Mechanical Engineering
Electrical Engineering
Related Engineering Field

Master's Degree / PhD with relevant experience

Experience working in high-tech or semiconductor industry environments.
Proven experience validating rack-level solutions for performance and reliability.
Experience supporting AI infrastructure or high-performance compute environments.
Experience integrating accelerators, networking switches, and photonic fabrics.
Strong understanding of rack automation and monitoring systems.
Fully onsite engineering lab environment in Santa Clara, CA.
Cross-functional collaboration with global engineering teams.

Highest Education Level (Bachelor's / Master's / PhD):
Networking Switches:
Experience with Rack-Level Management Functions & Monitoring:
Experience with Mechanical & Thermal CAD Tools:
Experience Testing & Qualifying Rack-Level Solutions:
Experience Troubleshooting Rack-Level Hardware/Software Issues:
Experience Working in High-Tech / Semiconductor Environments:
Experience Collaborating with Cross-Functional Engineering Teams:
Motivation / Reason for Relocation (if not local to Santa Clara, CA)
LinkedIn Profile URL:
Are you able to relocate on your own expenses and work onsite in Santa Clara, CA (Yes/No):