Research Manager, Intelligent Computing Infrastructure

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere.

This is a hybrid role in Morrisville, NC. The candidate will be required to work onsite three days a week and must be a US citizen or US national; US permanent residents or candidates requiring sponsorship cannot be considered.

About the role

Lenovo Intelligent Computing Lab (ICI) is seeking a technically credible, strategically minded researcher/leader to join our world-class research group in AI computing infrastructure technology.

• A global team of highly qualified researchers and engineers advancing the frontier of AI infrastructure and agentic AI acceleration to power Lenovo’s next-generation Hybrid AI strategies
• The team brings deep, hands-on expertise across intelligent computing technology, AI networking, sustainability, AI data storage, KV cache data acceleration, and hardware/software co-optimization to enable full-stack efficiency for model training, fine-tuning, and serving
• The team has a dual mandate and a proven record on both fronts: shipping future-defining products for Enterprise AI and Personal AI, and publishing research at top-tier venues in systems, architecture, and machine learning

Responsibilities

• Work with a group of talented and motivated researchers and translate breakthrough systems research into product and business impact
• Own the roadmap connecting emerging AI infrastructure technologies to the company's Hybrid AI strategy, balancing long-horizon research bets with near-term product deliverables
• Define and identify high-leverage research bets in AI computing infrastructure, prioritizing against product and business impact
• Provide hands-on technical guidance on system architecture, performance, power efficiency, and co-optimization trade-offs for LLM training, fine-tuning, and inference/serving
• Partner with product, engineering, and business development to transition research into Enterprise AI and Personal AI product lines

Requirements

• Advanced degree (PhD/MS) in computer science, computer engineering, or related disciplines
• 8+ years in systems/architecture/AI infrastructure R&D, including 3+ years leading research or advanced development teams
• Deep technical grounding in at least two of: AI accelerators and intelligent computing; datacenter networking; storage systems; memory hierarchy/KV cache optimization; energy-efficient systems design; distributed training/inference stacks
• Demonstrated record of translating research into shipped products or production infrastructure

Preferred Qualifications

• Track record of publications at top-tier systems, architecture, or ML venues, and/or a substantial patent portfolio
• Direct experience with LLM serving optimization (e.g., KV cache management, speculative decoding, disaggregated prefill/decode, quantization-aware serving)
• Experience with agentic AI systems: multi-agent orchestration, tool-use pipelines, long-context and memory-augmented inference
• Familiarity with hybrid AI deployment models spanning cloud, edge, and on-device NPUs
• Experience with sustainability metrics and energy-aware system design (carbon-aware scheduling, perf/watt optimization)