About this role
Summary: Researches and develops advanced AI computing technologies that improve the performance and efficiency of large language models and AI infrastructure. Works on memory optimization, AI hardware and software integration, and RISC-V.
General Information
Additional Locations:
- United States of America - North Carolina - Morrisville
Why Work at Lenovo
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 #153 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. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit https://www.lenovo.com, and read about the latest news via our [StoryHub](https://news.lenovo.com/).
Description and Requirements
Staff Researcher, AI System
### Role Overview
Lenovo is seeking a Staff Researcher, AI System to research and develop advanced AI computing technologies that improve the performance and efficiency of large language models (LLMs) and AI infrastructure.
In this role, you will focus on memory optimization, AI hardware and software integration, and emerging technologies such as RISC-V. You will collaborate with engineering, hardware, and product teams to develop innovative solutions for Lenovo's AI infrastructure and intelligent computing platforms.
### What You'll Do
- AI System Optimization: Design and develop large-scale memory pools and integrate them into multi-tier storage systems to improve KV Cache management and large model inference performance.
- Hardware & Software Integration: Collaborate with hardware teams to explore software-hardware co-design, including compute-storage collaboration, to improve AI system efficiency.
- RISC-V Development: Research and develop RISC-V AI technologies and explore alternative solutions for AI computing.
- Product Development: Work with business and engineering teams to integrate research outcomes into Lenovo's AI infrastructure, computing platforms, and products.
- Technology Research: Stay current with emerging AI system technologies, evaluate new developments, and share findings with the team.
### Minimum Qualifications
- Master's degree or higher in Computer Science, Electronic Engineering, or a related field.
- Strong understanding of computer system architecture.
- Programming experience with Python and C/C++ in a Linux environment.
- Familiarity with I/O bus protocols such as PCIe or CXL.
- Experience with Linux driver development or related firmware development.
- Knowledge of AI hardware, including GPUs, NPUs, AI servers, and AI clusters.
- Hands-on experience with heterogeneous computing systems.
- Understanding of large language model architectures and algorithms, including models such as DeepSeek, Qwen, Kimi, and GLM.
- Familiarity with LLM inference frameworks such as vLLM, SGLang, or Llama.cpp.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Ability to learn new technologies and solve complex system-level challenges.
### Preferred Qualifications
- Experience developing CXL-based memory pools.
- Experience with near-memory computing or in-memory computing projects.
- Experience with RISC-V AI technologies or ecosystem development projects.
*We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.*
Additional Locations:
- United States of America - North Carolina - Morrisville