Lenovo

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