Senior Data Center Systems Engineer -- Ai Infrastructure & Performance Optimization

Johnson Controls OpenBlue

Hybrid
Ai/hpc compute clusters
Liquid cooling hardware deployment
Workload management strategies
This role bridges AI/HPC computing systems with data center infrastructure, focusing on optimizing the interdependencies between computing workloads and cooling efficiency

Job Summary

  • This role bridges AI/HPC computing systems with data center infrastructure, focusing on optimizing the interdependencies between computing workloads and cooling efficiency.
  • Key responsibilities include deploying and managing AI/HPC compute clusters, commissioning liquid cooling hardware, and developing system-level digital twin simulations.
  • The ideal candidate will have deep expertise in GPU-based AI workloads combined with a comprehensive understanding of data center infrastructure systems.

Matching Summary

This role bridges AI/HPC computing systems with data center infrastructure, focusing on optimizing the interdependencies between computing workloads and cooling efficiency.

Skills & Requirements

Must-have

  • AI/HPC compute clusters
  • liquid cooling hardware deployment
  • workload management strategies
  • system-level digital twin simulations
  • telemetry data analysis
  • DCIM and BAS integration

Nice-to-have

  • industry thought leadership
  • cross-functional collaboration
  • independent work ethic

Key Requirements

  • PhD or Master's degree
  • 5-7 years of professional experience
  • Prior data center experience preferred
  • Proven hands-on LLM/VLM/HPC workload experience
  • Deep understanding of AI hardware architectures
  • Strong knowledge of data center mechanical and electrical systems
  • Proficiency with DCIM platforms and digital twin tools
  • Experience with stress testing tools and orchestration platforms

Work Rights

Not specified

Tailored Resume

Cover Letter