Staff Research - Intelligent Computing & AI Systems (PhD)

Lenovo Group Ltd

Morrisville, NC
30+ days ago

Highlights

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. In this role, you will contribute to the design and development of next‑generation computing architectures, with a strong focus on LLM (Large Language Model) inference acceleration, domain‑specific architectures (DSA), and AI systems innovation.

Numbers & Facts

Location

Morrisville, NC

Description

General Information

Req #

WD00097933

Career area:

Research/Development

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Monday, April 27, 2026

Working time:

Full-time

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$69 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. 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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Title: Staff Research - Intelligent Computing & AI Systems (PhD)

Location: Corporate Office, Raleigh NC United States (Hybrid Schedule:3:2, 3 Days in office, 2 flex location)

Company

Lenovo is a global technology leader delivering smarter technology for all. With a full portfolio that spans AI, edge computing, infrastructure, and devices, Lenovo is shaping the future of intelligent computing at scale.

Job Description

Lenovo is seeking highly motivated early‑career researchers (PhD graduates) to join our advanced intelligent computing team. In this role, you will contribute to the design and development of next‑generation computing architectures, with a strong focus on LLM (Large Language Model) inference acceleration, domain‑specific architectures (DSA), and AI systems innovation.

This is an excellent opportunity for recent graduates who are passionate about cutting‑edge AI and hardware‑software co‑design, and who want to see their research translate into real‑world, commercial products used globally.

Key Responsibilities

Participate in the architectural design and development of domain‑specific architectures (DSA) for AI and LLM inference systems, including ownership of key technical modules and subsystems
Collaborate closely with cross‑functional engineering, research, and product teams to translate advanced research concepts into practical, scalable solutions
Monitor emerging technology trends in intelligent computing, AI acceleration, and next‑generation architectures, and contribute innovative ideas for future products
Partner with Lenovo global (ROW) teams and international stakeholders to understand product requirements, support collaboration opportunities, and enable technology commercialization
Contribute technical insight and exploratory research that helps build Lenovo's long‑term technology roadmap and competitive differentiation
Document designs, experiments, and recommendations clearly to support knowledge sharing across teams
Ideal Start Date: June 1, 2026 (with some flexibility)

Required Qualifications

PhD in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related field
Strong academic or research background in one or more of the following areas:
Computer architecture or domain‑specific architectures
AI/ML systems, including LLM inference or acceleration
Hardware/software co‑design
Intelligent or high‑performance computing
Experience gained through coursework, research, internships, or projects in system‑level design and implementation
Solid programming skills in at least one language such as C/C++, Python, or similar
Ability to analyze complex technical problems and communicate ideas clearly in a collaborative environment

Preferred Qualifications

Hands‑on experience with AI accelerators, GPUs, NPUs, or related compute platforms
Familiarity with AI frameworks, compilers, or inference optimization techniques
Experience working on research projects with real‑world or product‑oriented outcomes
Interest in technology commercialization or exposure to industry collaboration
Experience collaborating with global or cross‑regional teams

What We Offer

Mentorship from senior engineers and researchers at a global technology leader
Exposure to cutting‑edge AI and intelligent computing research with real product impact
Opportunities to collaborate with global teams and industry partners
Competitive compensation, benefits, and early‑career development programs
A culture that values innovation, learning, transformation and inclusion

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.