Johnson Controls
Produces HVAC, fire, security and building automation systems to optimize and protect buildings globally.
Senior Data Center Systems Engineer -- AI Infrastructure & Performance Optimization
Optimize AI/HPC workloads and cooling systems in data centers
Job Highlights
About the Role
• Deploy, configure, and manage AI/HPC compute clusters for LLM training, inference, VLM applications, and HPC simulations. • Commission liquid cooling hardware such as direct‑to‑chip cold plates, CDUs, immersion systems, and hybrid solutions for high‑density AI infrastructure. • Design workload management strategies to evaluate thermal and power characteristics of CPU and GPU AI nodes under varied conditions. • Develop digital twin simulations that integrate IT telemetry with mechanical and electrical data to model cooling and computing efficiency. • Extract and analyze telemetry from GPUs, CPUs, IT nodes, and thermal systems (chillers, cooling towers, pumps, CDUs) to improve performance and energy efficiency. • Collaborate with thermal engineers and controls teams to validate cooling performance under real‑world AI/HPC workloads and support NPI initiatives. • Integrate DCIM and BAS platforms for holistic infrastructure monitoring, predictive analytics, and operational optimization. • Author technical reports, white papers, and industry publications documenting research findings, best practices, and performance benchmarks. • Represent Johnson Controls at conferences, technical forums, and customer engagements to share innovations and establish thought leadership. • Interface with hyperscalers, OEMs, and technology partners to align infrastructure solutions with evolving AI hardware and workload requirements. • Contribute to patent filings and industry standards related to data center systems optimization.
Key Responsibilities
- ▸cluster management
- ▸cooling commission
- ▸workload design
- ▸digital twin
- ▸telemetry analysis
- ▸dcim integration
What You Bring
Johnson Controls' Data Center Thermal Solutions team is seeking a Senior Data Center Systems Engineer for the Advanced Technology & Innovation group. This role bridges AI/HPC computing systems with data center infrastructure, focusing on optimizing the interdependencies between computing workloads and cooling efficiency. The ideal candidate will be highly self‑driven, able to work independently with limited supervision, and bring deep expertise in GPU‑based AI workloads combined with a comprehensive understanding of data center infrastructure systems. • Hold a PhD or Master's degree in Electrical Engineering, Mechanical Engineering, or Computer Science. • Possess 5–7 years of experience in AI/HPC infrastructure, data center operations, or related technical roles. • Demonstrated hands‑on experience deploying and managing GPU‑based AI workloads (LLM, VLM, training, inference, HPC simulations). • Deep knowledge of AI hardware architectures (e.g., NVIDIA H100/H200, AMD MI300) and their thermal/power characteristics. • Strong understanding of data center mechanical, electrical, and networking systems (cooling distribution, UPS, InfiniBand/Ethernet fabrics). • Proficiency with DCIM platforms, BAS integration, and digital twin modelling tools. • Experience with stress‑testing tools, workload orchestration platforms (Kubernetes, Slurm), and telemetry collection frameworks. • Ability to work independently, manage complex projects, and deliver results with minimal supervision. • Excellent technical communication and presentation skills for conferences and white‑paper authorship.
Requirements
- ▸phd
- ▸ai/hpc
- ▸gpu workloads
- ▸ai hardware
- ▸data center
- ▸dcim
Work Environment
Onsite