Advanced degree (PhD/MS) in computer science, computer engineering, or related fields.
8+ years in systems/architecture/AI infrastructure R&D, with 3+ years in leadership roles.
Strong expertise in AI accelerators, datacenter networking, and energy-efficient systems design.
Proven ability to translate research into market-ready products or infrastructure.
Responsibilities
Define high-impact research initiatives in AI computing infrastructure.
Provide technical guidance on system architecture and performance optimization.
Collaborate with product and engineering teams to integrate research into product lines.
Balance long-term research goals with immediate product deliverables.
Benefits
Hybrid work model with three days onsite in Morrisville, NC.
Opportunity to work with a world-class research team in AI technology.
Engagement in cutting-edge projects that influence future AI products.
Access to a collaborative environment that fosters innovation and growth.
Full Job Description
General Information
Req #
WD00103720
Career area:
Research/Development
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Wednesday, August 5, 2026
Working time:
Full-time
Additional Locations: * United States of America - North Carolina - Morrisville
Description and Requirements
*Please Note* This is a hybrid role in Morrisville, NC. This candidate will be required to work onsite three days a week.
This candidate MUST be a US citizen or US national; US permanent residents or candidates requiring sponsorship cannot be considered.
Position Description:
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.
Who are we at Lenovo ICI Lab?
A global team of highly qualified researchers and engineers advancing the frontier of AI infrastructure and agentic AI acceleration to power Lenovo 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
The Role and Responsibilities
Work with a group of talented and motivated researchers and translate breakthrough systems research into product and business impact. You will 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
Required Qualifications:
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)
Additional Locations: * United States of America - North Carolina - Morrisville
About Lenovo
Lenovo is a multinational technology company that designs, develops, and sells a wide range of computer hardware and electronics. The company was founded in 1984 and is headquartered in Beijing, China. Lenovo is one of the largest computer manufacturers in the world and operates in over 60 countries. The company's products include laptops, desktops, tablets, smartphones, and servers. Lenovo is committed to innovation and has a reputation for producing high-quality products that are both reliable and affordable.
