Field Service Delivery Engineer - Ai Infrastructure

SHI International Corp

Piscataway, United States
Base: $90,000 - $150,000; bonus/equity: not specif...
On-site
Enterprise grade ai infrastructure deployment
Nvidia base pods and oem systems integration
Kubernetes cluster configuration
SHI International Corp is seeking a Field Service Delivery Engineer for AI Infrastructure to support the deployment and integration of enterprise-grade AI systems. The ideal candidate will have extensive experience with data center hardware, Linux systems, and Python scripting, combined with strong problem-solving skills and a customer-oriented approach

Job Summary

  • Lead the end to end deployment of AI infrastructure, including rack/stack, cabling validation, system bring up, firmware updates, burn in, and cluster configuration.
  • Integrate and validate NVIDIA Base Pods and OEM AI systems, including Base Command Manager, Kubernetes installation, and GPU node readiness.
  • Engage directly with customers, providing clear communication, technical guidance, and a professional onsite presence.

Matching Summary

Match Score: 85

SHI International Corp is seeking a Field Service Delivery Engineer for AI Infrastructure to support the deployment and integration of enterprise-grade AI systems. The ideal candidate will have extensive experience with data center hardware, Linux systems, and Python scripting, combined with strong problem-solving skills and a customer-oriented approach.

Salary

Base: $90,000 - $150,000; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, 401K, flexible spending

Skills & Requirements

Must-have

  • Enterprise grade AI infrastructure deployment
  • NVIDIA Base Pods and OEM systems integration
  • Kubernetes cluster configuration
  • Linux systems administration
  • Python scripting for automation
  • Data center networking (L2/L3)
  • Customer facing communication

Nice-to-have

  • Proactive problem identification
  • Independent work in dynamic environments
  • Continuous professional growth
  • Teamwork and leadership facilitation

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 5+ years experience with enterprise data center hardware
  • Proficient in Python scripting
  • In-depth knowledge of L2/L3 networking
  • Hands-on experience deploying Kubernetes
  • Familiarity with NVIDIA GPU systems

Work Rights

Not specified

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