Sr. AI Infra Engineer

Job Summary:

Lenovo’s CTO Organization is seeking a Senior Engineer, AI Infrastructure to pioneer energyefficient computing across heterogeneous GPU/CPU clusters and data center environments. In this role, you will lead R&D and build productiongrade power monitoring and predictive analytics solutions that optimize AI workloads endtoend-from hardware manufacturing considerations through data center operations-reducing environmental impact while improving performance. You’ll collaborate with worldwide crossfunctional teams to translate research outcomes into commercial products, applying expertise in HPC, DCIM/Linux kernel development, workload characterization, and energyefficiency optimization.

Responsibilities:

• Conduct cutting-edge research on energy-efficient management of heterogeneous computing clusters.
• Build power monitoring, predictive analytics and energy-efficient software solutions for AI Infra.
• Work closely with cross-functional World-Wide teams, transfer R&D outcomes into commercial products and solutions.

Required Qualifications:

• Data center operation or AI infra monitoring.
• DCIM or software developer background.
• High Performance Computing (HPC).
• GPU/CPU energy efficiency optimization.
• AI tasks energy efficiency and optimization.
• AI Workload characterization and performance analysis.

Preferred Qualifications:

• A Bachelors or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Linux Kernel knowledge.
• Good communication skills.
• experience with Sustainable Computing.
• Direct experience with NVIDIA GPU software stacks.
• Excellent problem-solving skills and a passion for tackling complex, open-ended challenges.