Johnson Controls · 1 month ago
Senior Data Center Systems Engineer -- AI Infrastructure & Performance Optimization (hybrid)
Johnson Controls is a company focused on innovative solutions in the data center space. They are seeking a Senior Data Center Systems Engineer to optimize AI/HPC computing systems and data center infrastructure, ensuring efficient cooling and workload management.
Industrial EngineeringPhysical SecuritySmart Building
Responsibilities
Deploy, configure, and manage AI/HPC compute clusters running diverse workloads including LLM training and inference, VLM applications, HPC simulations, and stress testing scenarios
Deploy and commission liquid cooling hardware including direct-to-chip cold plates, CDUs, immersion systems, and hybrid cooling solutions for high-density AI infrastructure
Design and execute workload management strategies to evaluate thermal and power characteristics across CPU and GPU-based AI nodes under varied operational conditions
Develop system-level digital twin simulations integrating IT telemetry with mechanical and electrical infrastructure data to model cooling and computing efficiency interdependencies
Extract and analyze telemetry data from IT nodes, GPUs, CPUs, and thermal systems including chillers, cooling towers, pumps, and CDUs to optimize performance and energy efficiency
Collaborate with thermal engineers and controls teams to validate cooling system performance under real-world AI/HPC workloads and support NPI development initiatives
Integrate and leverage DCIM and BAS platforms for holistic infrastructure monitoring, predictive analytics, and operational optimization
Author technical reports and industry white papers documenting research findings, best practices, and performance benchmarks for AI data center infrastructure
Represent Johnson Controls at industry conferences, technical forums, and customer engagements to share innovations and establish thought leadership in AI infrastructure optimization
Interface with hyperscalers, OEMs, and technology partners to align infrastructure solutions with evolving AI hardware and workload requirements
Contribute to technical publications, patent filings, and industry standards related to data center systems optimization
Qualification
Required
PhD or Master's degree in Electrical Engineering, Mechanical Engineering, or Computer Science
5+ years of professional experience in AI/HPC infrastructure, data center operations, or related technical roles
Proven hands-on experience deploying and managing LLM, VLM, training, inference, and HPC simulation workloads on GPU-based AI infrastructure
Deep understanding of AI hardware architectures (NVIDIA H100/H200, AMD MI300, etc.) and their thermal/power characteristics across diverse workloads
Strong knowledge of data center mechanical systems (cooling distribution, heat rejection), electrical systems (power distribution, UPS), and networking architectures (InfiniBand, Ethernet fabrics)
Proficiency with DCIM platforms, BAS integration, and digital twin modeling tools for infrastructure simulation and optimization
Experience with stress testing tools, workload orchestration platforms (Kubernetes, Slurm, etc.), and telemetry collection frameworks
Demonstrated ability to work independently, manage complex projects, and deliver results with minimal supervision
Track record of innovation and cross-functional collaboration in data center or AI infrastructure environments
Preferred
Prior experience working in data center environments
Benefits
Competitive Bonus plan
Competitive benefits package
Company
Johnson Controls
Johnson Controls offers smart buildings that create safe, healthy, and sustainable environments.
H1B Sponsorship
Johnson Controls has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (61)
2024 (57)
2023 (80)
2022 (95)
2021 (81)
2020 (93)
Funding
Current Stage
Public CompanyTotal Funding
$1.6BKey Investors
US Department of Energy
2024-12-05Post Ipo Debt· $250M
2024-12-04Post Ipo Debt· $525.61M
2024-05-20Post Ipo Equity· $90M
Leadership Team
Recent News
2026-01-08
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2026-01-07
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