Rack Level Integration Engineer
Santa Clara, CA - Onsite
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.
Key Responsibilities
Rack-Level Integration & Validation
Must-Have Skills
Experience
Recruiter Submission Template
Full Name:
Degree Major with University and Completion Year:
Highest Education Level (Bachelor's / Master's / PhD):
Total Years of Rack-Level Integration Experience:
Total Years of AI Compute Infrastructure Experience:
Experience with Rack-Level Optical Interconnects:
Experience Integrating AI Compute Rack Components:
Experience with:
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 with Racking & Stacking Procedures:
Experience Working in High-Tech / Semiconductor Environments:
Experience Collaborating with Cross-Functional Engineering Teams:
Experience Creating Technical Documentation:
Familiarity with AI Infrastructure / HPC Environments:
Motivation / Reason for Relocation (if not local to Santa Clara, CA)
Motivation / Reason for interest in this position:
Contact Number:
Email ID:
LinkedIn Profile URL:
Full Address (Street, City, State, Zip Code):
Notice Period (in weeks):
Current Work Authorization Status (US):
Expected Salary:
Are you able to relocate on your own expenses and work onsite in Santa Clara, CA (Yes/No):
Santa Clara, CA - Onsite
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.
Key Responsibilities
Rack-Level Integration & Validation
- Lead rack-level integration activities for AI compute rack solutions and photonic fabric technologies.
- 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.
- Integrate rack-level optical interconnect technologies and optical backplane solutions.
- 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.
- Set up, test, troubleshoot, and qualify complete rack-level solutions.
- Ensure rack systems meet stringent performance, reliability, efficiency, and scalability benchmarks.
- Conduct validation testing and performance analysis across integrated AI compute environments.
- Troubleshoot hardware, thermal, power, and connectivity-related issues.
- 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.
- Contribute to continuous improvement and integration best practices.
Must-Have Skills
- Rack-Level Integration
- AI Compute Rack Architecture
- Rack-Level Validation & Qualification
- Hardware & Software Integration
- Optical Interconnect Integration
- Rack Management Functions
- Power Distribution Systems (PDUs)
- 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
- Minimum 3+ years of hands-on rack-level integration experience.
- Experience working in high-tech or semiconductor industry environments.
- Experience integrating AI compute rack components and infrastructure systems.
- Proven experience validating rack-level solutions for performance and reliability.
- Experience with rack-level optical interconnects.
- Experience supporting AI infrastructure or high-performance compute environments.
- Familiarity with cooling systems and thermal optimization.
- 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.
- Hands-on integration and validation role.
- Fast-paced high-tech product development environment.
- Cross-functional collaboration with global engineering teams.
Recruiter Submission Template
Full Name:
Degree Major with University and Completion Year:
Highest Education Level (Bachelor's / Master's / PhD):
Total Years of Rack-Level Integration Experience:
Total Years of AI Compute Infrastructure Experience:
Experience with Rack-Level Optical Interconnects:
Experience Integrating AI Compute Rack Components:
Experience with:
- Servers:
- Accelerators:
- Networking Switches:
- Optical Backplanes:
- Power Shelves:
- Cooling Solutions:
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 with Racking & Stacking Procedures:
Experience Working in High-Tech / Semiconductor Environments:
Experience Collaborating with Cross-Functional Engineering Teams:
Experience Creating Technical Documentation:
Familiarity with AI Infrastructure / HPC Environments:
Motivation / Reason for Relocation (if not local to Santa Clara, CA)
Motivation / Reason for interest in this position:
Contact Number:
Email ID:
LinkedIn Profile URL:
Full Address (Street, City, State, Zip Code):
Notice Period (in weeks):
Current Work Authorization Status (US):
Expected Salary:
Are you able to relocate on your own expenses and work onsite in Santa Clara, CA (Yes/No):
Rack Level Integration Engineer in santa clara at Unknown Company
This position is listed as full time and onsite.