Staff Research – Intelligent Computing & AI Systems (PhD)

About the role

Lenovo is seeking highly motivated early-career researchers (PhD graduates) to join our advanced intelligent computing team. This role involves contributing to the design and development of next-generation computing architectures, with a strong focus on Large Language Models (LLM) inference acceleration, domain-specific architectures (DSA), and AI systems innovation.

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

Qualifications

• 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

Benefits

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, and a culture that values innovation, learning, transformation, and inclusion.

Pay

Competitive compensation, benefits, and early-career development programs.

Schedule

Hybrid Schedule: 3:2 (3 days in office, 2 flex location).