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

Johnson Controls OpenBlue

New Freedom, United States
Hybrid
Gpu-based ai workloads
Liquid cooling hardware deployment
Workload management strategies
Johnson Controls is seeking a Senior Data Center Systems Engineer to join their Data Center Thermal Solutions team, focusing on AI infrastructure and performance optimization. The role requires expertise in GPU-based AI workloads and a deep understanding of data center systems, offering a hybrid work environment

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 position requires extracting and analyzing telemetry data from IT nodes and thermal systems to optimize performance and energy efficiency, collaborating with thermal engineers and controls teams.

Matching Summary

Match Score: 85

Johnson Controls is seeking a Senior Data Center Systems Engineer to join their Data Center Thermal Solutions team, focusing on AI infrastructure and performance optimization. The role requires expertise in GPU-based AI workloads and a deep understanding of data center systems, offering a hybrid work environment.

Skills & Requirements

Must-have

  • GPU-based AI workloads
  • liquid cooling hardware deployment
  • workload management strategies
  • telemetry data extraction and analysis
  • DCIM and BAS integration

Nice-to-have

  • highly self-driven
  • work independently with limited supervision
  • cross-functional collaboration
  • thought leadership

Key Requirements

  • PhD or Master's degree
  • 5-7 years of professional experience
  • Prior experience working in data center environments strongly preferred
  • Proven hands-on experience deploying and managing LLM, VLM, training, inference, and HPC simulation workloads on GPU-based AI infrastructure
  • Strong knowledge of data center mechanical and electrical systems
  • Proficiency with DCIM platforms, BAS integration, and digital twin modeling tools
  • Experience with stress testing tools and workload orchestration platforms

Work Rights

Not specified

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