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

JOHNSON CONTROLS

Hybrid
Llm training and inference workload management
Liquid cooling hardware deployment (cdus, cold plates)
Gpu-based ai infrastructure architecture expertise
Johnson Controls is seeking a Senior Data Center Systems Engineer to join their Advanced Technology & Innovation group, focusing on optimizing AI infrastructure and performance within data centers. The ideal candidate will have significant experience in GPU-based AI workloads and a solid understanding of data center systems

Job Summary

  • This role bridges AI and HPC computing systems with data center infrastructure to optimize the interdependencies between computing workloads and cooling efficiency.
  • The ideal candidate will deploy and manage diverse AI workloads including LLM training, inference, and HPC simulations on GPU-based clusters.
  • Candidates are expected to develop system-level digital twin simulations integrating IT telemetry with mechanical and electrical infrastructure data.

Matching Summary

Match Score: 85

Johnson Controls is seeking a Senior Data Center Systems Engineer to join their Advanced Technology & Innovation group, focusing on optimizing AI infrastructure and performance within data centers. The ideal candidate will have significant experience in GPU-based AI workloads and a solid understanding of data center systems.

Skills & Requirements

Must-have

  • LLM training and inference workload management
  • Liquid cooling hardware deployment (CDUs, cold plates)
  • GPU-based AI infrastructure architecture expertise
  • Digital twin simulation for thermal and power analysis
  • DCIM and BAS platform integration experience

Nice-to-have

  • Experience with hyperscaler partnerships
  • Track record of patent filings and white papers
  • Ability to work independently with minimal supervision
  • Conference presentation and thought leadership skills
  • Cross-functional collaboration with thermal engineers

Key Requirements

  • PhD or Master's degree in Electrical Engineering, Mechanical Engineering, or Computer Science
  • 5-7 years of professional experience in AI/HPC infrastructure or data center operations
  • Proven hands-on experience deploying LLM, VLM, and HPC workloads on GPU infrastructure
  • Deep understanding of NVIDIA H100/H200 or AMD MI300 hardware architectures
  • Strong knowledge of data center mechanical and electrical systems

Work Rights

Not specified

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