Rack Level Integration Engineer

Veracity Solutions

$100K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's/PhD in Mechanical/Electrical Engineering or related field, or equivalent experience.
  • 3+ years of hands-on experience in rack-level integration.
  • Experience in high-tech or semiconductor industry environments.
  • Proven ability in validating rack-level solutions for performance and reliability.
  • Strong understanding of AI compute infrastructure components and systems.

Responsibilities

  • Lead the integration of AI compute rack solutions and photonic technology.
  • Validate hardware and software within rack environments for compatibility and performance.
  • Perform hands-on assembly and high-touch integration of rack systems.
  • Implement and test rack-level optical interconnect technologies and infrastructure solutions.
  • Support ongoing management functions, including monitoring and automation.
  • Set up and troubleshoot complete rack systems, ensuring optimal performance.
  • Collaborate with cross-functional teams and document integration processes.

Benefits

  • Collaborative work environment with global engineering teams.
  • Hands-on role in a fast-paced high-tech product development setting.
  • Opportunity to work with cutting-edge AI and photonic technologies.
Full Job Description
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
  • 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.
Optical Interconnect & Infrastructure Integration
  • 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.
Testing, Qualification & Performance Optimization
  • 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.
Cross-Functional Collaboration & Documentation
  • 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.
Required Qualifications
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
Education
  • Bachelor's Degree in:
    • Mechanical Engineering
    • Electrical Engineering
    • Related Engineering Field
OR
  • Master's Degree / PhD with relevant experience
Equivalent professional experience may be considered in lieu of formal degree.
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.
Preferred Qualifications
  • 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.
Work Environment
  • 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 Smart PDUs / Power Distribution Systems:
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):

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