Shape AI compute systems at Lenovo in hybrid Morrisville or Palo Alto, focusing on GPUs, accelerators, workload characterization, and optimization.
This Staff Researcher conducts applied research and hands-on development across AI algorithms and computer systems. You will address performance, scalability, reliability, and energy-efficiency challenges in Hybrid AI. The work includes cross-layer technologies spanning GPUs, CPUs, memory, storage, networking, system software, data pipelines, and AI frameworks.

Key Responsibilities

Characterize training, inference, and data-processing workloadsDiagnose performance and reliability issues across computing layersOptimize GPU utilization, scheduling, resource allocation, and data movementImprove data ingestion, preprocessing, storage, retrieval,



and deliveryOptimize systems for throughput, latency, availability, and energy consumptionRequirements:
Relevant bachelor's degree or equivalent practical experienceThree or more years in AI infrastructure, distributed systems, or related areasStrong programming ability in a comparable contemporary languageTechnical expertise in at least two listed specialization areasUS citizen or national able to work onsite three days weeklyUse AI systems, accelerator optimization, and performance diagnosis expertise to advance Lenovo’s compute infrastructure technologies.

📌 Ai Compute Systems Staff Researcher (Canada)
🏢 Lenovo Group
📍 Canada