Data Center Systems Engineer - AI Infrastructure Optimization

- I will deploy, configure, and manage AI/HPC compute clusters that handle various workloads, including LLM training, inferencing, VLM applications, HPC simulations, and stress testing scenarios. - I will deploy and commission liquid cooling hardware, including direct-to-chip cold plates, CDUs, immersion systems, and hybrid cooling solutions for high-density AI infrastructures. - I will design and implement workload management strategies to assess thermal and power characteristics across CPU and GPU-based AI nodes under different operational situations. - I will develop system-level digital twin simulations, integrating IT telemetry with data from mechanical and electrical infrastructure to model the interdependencies of cooling and computing efficiency. - I will extract and analyze telemetry data from IT nodes, GPUs, CPUs, and thermal systems like chillers, cooling towers, pumps, and CDUs to enhance performance and energy efficiency. - I will work alongside thermal engineers and controls teams to validate the performance of cooling systems under real-world AI/HPC workloads and assist NPI development efforts. - I will integrate and utilize DCIM and BAS platforms for comprehensive infrastructure monitoring, predictive analytics, and operational optimization. - I will write technical reports and industry white papers that document research findings, best practices, and performance benchmarks related to AI data center infrastructure. - I will represent our company at industry conferences, technical forums, and customer engagements to share innovations and establish our thought leadership in AI infrastructure optimization. - I will interact with hyperscalers, OEMs, and technology partners to align our infrastructure solutions with the evolving demands of AI hardware and workloads. - I will contribute to technical publications, patent filings, and industry standards focused on optimizing data center systems.