Lenovo
Sr. Manager, Sr. Researcher, Intelligent Computing Infrastructure
Morrisville, North Carolina · Manager · Full-time · Posted Oct 26, 2026
- Experience
- 8+ years in systems/architecture/AI infrastructure R&D, including 3+ years leading research or advanced development teams.
- Education
- Advanced degree (PhD/MS) in computer science, computer engineering, or related disciplines.
- Visa sponsorship
- Must be a US citizen or US national; US permanent residents and candidates requiring sponsorship cannot be considered.
About the job
Lead AI infrastructure research strategy and technical development, translating systems research into products and business impact for Lenovo’s Hybrid AI strategy.
What you'll do
- Define and prioritize AI computing infrastructure research bets based on product and business impact.
- Guide system architecture and co-optimization for performance and power efficiency across LLM training, fine-tuning, and serving.
- Partner with product, engineering, and business development to transition research into Enterprise AI and Personal AI products.
What they ask for
- Advanced degree (PhD/MS) in computer science, computer engineering, or a related discipline.
- Deep technical grounding in at least two listed AI infrastructure areas, including accelerators, networking, storage, memory/KV cache, energy-efficient design, or distributed training/inference.
- Demonstrated record of translating research into shipped products or production infrastructure.
Nice to have
- Publications at top-tier systems, architecture, or ML venues and/or a substantial patent portfolio.
- Experience in LLM serving optimization, agentic AI, hybrid AI deployment, or sustainability-focused system design.
AI focus
AI computing infrastructure and agentic AI acceleration, including systems research and optimization for LLM training, fine-tuning, and inference/serving.
Model-written summary · the original posting is authoritative